Stephen P. Boyd – Papers & Talks

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Papers are listed below by year of submission before they are published, or year of publication.

2024

Finding moving-band statistical arbitrages via convex-concave optimization

K. Johansson, T. Schmelzer, and S. Boyd

Large-scale GNSS spreading code optimization

A. Yang, T. Mina, S. Boyd, and G. Gao

Approximate sequential optimization for informative path planning

J. Ott, M. Kochenderfer, and S. Boyd

Compact model parameter extraction via derivative-free optimization

R. Martinez, M. Iwamoto, K. Woo, Z. Bian, R. Tinti, S. Boyd, and S. Chowdhury

Fast path planning through large collections of safe boxes

T. Marcucci, P. Nobel, R. Tedrake, and S. Boyd

Specifying and solving robust empirical risk minimization problems using CVXPY

E. Luxenberg, D. Malik, Y. Li, A. Singh, and S. Boyd

Markowitz portfolio construction at seventy

S. Boyd, K. Johansson, R. Kahn, P. Schiele, and T. Schmelzer

Efficient Shapley performance attribution for least-squares regression

L. Bell, N. Devanathan, and S. Boyd

Convex optimization in quantitative finance

S. Boyd, K. Johansson, and P. Schiele

A Markowitz approach to managing a dynamic basket of moving-band statistical arbitrages

K. Johansson, T. Schmelzer, and S. Boyd

Time dilated Bundt cake analysis of PV output

G. Ogut, B. Meyers, A. Dufour, and S. Boyd

Interpretable net load forecasting using smooth multiperiodic features

G. Ogut, B. Meyers, and S. Boyd

Exponentially weighted moving models

E. Luxenberg and S. Boyd

Robust bond portfolio construction using convex-concave saddle point optimization

E. Luxenberg, P. Schiele, and S. Boyd

Portfolio construction with Gaussian mixture returns and exponential utility via convex optimization

E. Luxenberg and S. Boyd

Convex optimization over risk-neutral probabilities

S. Barratt, J. Tuck, and S. Boyd

Polyak minorant method for convex optimization

N. Devanathan and S. Boyd

Disciplined saddle programming

P. Schiele, E. Luxenberg, and S. Boyd

Portfolio optimization with cumulative prospect theory utility via convex optimization

E. Luxenberg, P. Schiele, and S. Boyd.

Factor fitting, rank allocation, and partitioning in multilevel low rank matrices

T. Parshakova, T. Hastie, E. Darve, and S. Boyd

2023

Fitting feature-dependent Markov chains

S. Barratt and S. Boyd

Implementation of an oracle-structured bundle method for distributed optimization

T. Parshakova, F. Zhang, and S. Boyd

Tractable evaluation of Stein’s unbiased risk estimator with convex regularizers

P. Nobel, E. Candes, and S. Boyd

Value-gradient iteration with quadratic approximate value functions

A. Yang and S. Boyd

A simple method for predicting covariance matrices of financial returns

K. Johansson, M. Ogut, M. Pelger, T. Schmelzer, and S. Boyd

Covariance prediction via convex optimization

S. Barratt and S. Boyd

Portfolio construction as linearly constrained separable optimization

N. Moehle, J, Gindi, S. Boyd, and M. Kochenderfer

Home energy management with dynamic tariffs and tiered peak power charges

D. Perez-Pineiro, S. Skogestad, and S. Boyd

RSQP: Problem-specific architectural customization for accelerated convex quadratic programming

M. Wang, I. McInerney, B. Stellato, S. Boyd, and H. So.

PV fleet modeling via smooth periodic Gaussian copula

M. Ogut, B. Meyers, and S. Boyd

Computing tighter bounds on the n-queens constant via Newton's method

P. Nobel, A. Agrawal, and S. Boyd

Minimizing oracle-structured composite functions

X. Shen, A. Ali, and S. Boyd

Portfolio construction using stratified models

J. Tuck, S. Barratt, and S. Boyd

InControl podcast: Interview with Stephen Boyd

A. Padoan and S. Boyd

Signal decomposition using masked proximal operators

B. Meyers and S. Boyd

Bounds on efficiency metrics in photonics

G. Angeris, T. Diamandis, J. Vuckovic, and S. Boyd

2022

Signal decomposition via quadratic-separable optimization

L. Volpatti, B. Meyers, and S. Boyd

Allocation of fungible resources via a fast scalable price discovery method

A. Agrawal, S. Boyd, D. Narayanan, F. Kazhamiaka, and M. Zaharia

Model-based deep learning: On the intersection of deep learning and optimization

N. Schlezinger, Y. Eldar, and S. Boyd

Strategic asset allocation with illiquid alternatives

E. Luxenberg, S. Boyd, M. Kochenderfer, M. van Beek, W. Cao, S. Diamond, A. Ulitsky, K. Menda, and V. Vairavamurthy

Extracting a low-dimensional predictable time series

Y. Dong, S. J. Qin, and S. Boyd

Optimal claiming of social security benefits

S. Diamond, S. Boyd, D. Greenberg, M. Kochenderfer, and A. Ang

A general optimization framework for dynamic time warping

D. Deriso and S. Boyd

Portfolio performance attribution via Shapley value

N. Moehle, S. Boyd, and A. Ang

Multi-period liability clearing via convex optimal control

S. Barratt and S. Boyd

Optimal routing for constant function market makers

G. Angeris, A. Evans, T. Chitra, and S. Boyd

Operator splitting for adaptive radiation therapy with nonlinear health dynamics

A. Fu, L. Xing, S. Boyd

Fitting Laplacian regularized stratified Gaussian models

J. Tuck and S. Boyd

A light-weight multi-objective asynchronous hyper-parameter optimizer

G. Maher, S. Boyd, M. Kochenderfer, C. Matache, A. Ulitsky, S. Yukhymuk, L. Kopman

Embedded code generation with CVXPY

M Schaller, G. Banjac, S. Diamond, A. Agrawal, B. Stellato, and S. Boyd

Confidence bands for a log-concave density

G. Walther, A. Ali, X. Shen, and S. Boyd

Stochastic control with affine dynamics and extended quadratic costs

S. Barratt and S. Boyd

Eigen-stratified models

J. Tuck and S. Boyd

Constant function market makers: Multi-asset trades via convex optimization

G. Angeris, A. Agrawal, A. Evans, T. Chitra, and S. Boyd

2021

Incremental proximal model predictive control

X. Shen and S. Boyd

Solving large-scale granular resource allocation problems efficiently with POP

D. Narayanan, F. Kazhamiaka, F. Abuzaid, P. Kraft, A. Agrawal, S. Kandula, S. Boyd, and M. Zaharia

Minimum distortion embedding

A. Agrawal, A. Ali, and S. Boyd

Dirty pixels: optimizing image classification architectures for raw sensor data

S. Diamond, V. Sitzmann, S. Boyd, G. Wetzstein, and F. Heide

A certainty equivalent Merton problem

N. Moehle and S. Boyd

Convex restrictions in physical design

G. Angeris, J. Vuckovic, and S. Boyd

Least squares auto-tuning

S. Barratt and S. Boyd

Learning convex optimization models

A. Agrawal, S. Barratt, and S. Boyd

A distributed method for fitting Laplacian regularized stratified models

J. Tuck, S. Barratt, and S. Boyd

Optimal representative sample weighting

S. Barratt, G. Angeris, and S. Boyd

Automatic repair of convex optimization problems

S. Barratt, G. Angeris, and S. Boyd

Tax-aware portfolio construction via convex optimization

N. Moehle, M. Kochenderfer, S. Boyd, and A. Ang

Heuristic methods and performance bounds for photonic design

G. Angeris, J. Vuckovic, and S. Boyd

2020

Embedded convex optimization for control

S. Boyd, A. Agrawal, and S. Barratt

Anderson accelerated Douglas-Rachford splitting

A. Fu, J. Zhang, and S. Boyd

Low rank forecasting

S. Barratt, Y. Dong, and S. Boyd

Sample efficient reinforcement learning with REINFORCE

J. Zhang, J. Kim, B. O'Donoghue, and S. Boyd

Disciplined quasiconvex programming

A. Agrawal and S. Boyd

Bounds for scattering from absorptionless electromagnetic structures

R. Trivedi, G. Angeris, L. Su, S. Boyd, S. Fan, and J. Vuckovic

Learning convex optimization control policies

A. Agrawal, S. Barratt, S. Boyd, and B. Stellato

Globally convergent type-I Anderson acceleration for non-smooth fixed-point iterations

J. Zhang, B. O'Donoghue, and S. Boyd

Optimal operation of a plug-in hybrid vehicle with battery thermal and degradation model

J. Kim, Y. Park, J. Fox, S. Boyd, and W. Dally

CVXR: An R Package for disciplined convex optimization

A. Fu, B. Narasimhan, and S. Boyd

Differentiating through log-log convex programs

A. Agrawal and S. Boyd

Minimizing a sum of clipped convex functions

S. Barratt, G. Angeris, and S. Boyd

SWIFTCORE: A tool for context-specific reconstruction of genome-scale metabolic networks

M. Tefagh and S. Boyd

Network optimization for unified packet and circuit switched networks

P. Yin, S. Diamond, B. Lin, and S. Boyd

OSQP: An operator splitting solver for quadratic programs

B. Stellato, G. Banjac, P. Goulart, A. Bemporad, and S. Boyd

On the convergence of mirror descent beyond stochastic convex programming

Z. Zhou, P. Mertikopoulos, N. Bambos, S. Boyd, and P. Glynn

A simple effective heuristic for embedded mixed-integer quadratic programming

R. Takapoui, N. Moehle, S. Boyd, and A. Bemporad

Fitting a linear control policy to demonstrations with a Kalman constraint

M. Palan, S. Barratt, A. McCauley, D. Sadigh, V. Sindhwani, and S. Boyd

Fitting a Kalman smoother to data

S. Barratt and S. Boyd

2019

Solution refinement at regular points of conic problems

E. Busseti, W. Moursi, and S. Boyd

Differentiable convex optimization layers

A. Agrawal, B. Amos, S. Barratt, S. Boyd, S. Diamond, and J. Zico Kolter

Multi-period portfolio selection with drawdown control

P. Nystrup, S. Boyd, E. Lindstrom, and H. Madsen

Dynamic energy management

N. Moehle, E. Busseti, S. Boyd, and M. Wytock

Greedy Gaussian segmentation of multivariate time series

D. Hallac, P. Nystrup, and S. Boyd

Learning probabilistic trajectory models of aircraft in terminal airspace from position data

S. Barratt, M. Kochenderfer, and S. Boyd

Differentiating through a cone program

A. Agrawal, S. Barratt, S. Boyd, E. Busseti, and W. Moursi

Real time radiation treatment planning with optimality guarantees via cluster and bound methods

B. Ungun, L. Xing, and S. Boyd

Infeasibility detection in the alternating direction method of multipliers for convex optimization

G. Banjac, P. Goulart, B. Stellato, and S. Boyd

Distributed majorization-minimization for Laplacian regularized problems

J. Tuck, D. Hallac, and S. Boyd

Computational bounds for photonic design

G. Angeris, J. Vuckovic, and S. Boyd

A distributed method for optimal capacity reservation

N. Moehle, X. Shen, Z.-Q. Luo, and S. Boyd

Disciplined geometric programming

A. Agrawal, S. Diamond, and S. Boyd

A convex optimization approach to radiation treatment planning with dose constraints

A. Fu, B. Ungun, L. Xing, and S. Boyd

Quantitative flux coupling analysis

M. Tefagh and S. Boyd

2018

Advances in inverse planning algorithm and strategy

M. Masoud, B. Ungun, R. Li, Y. Ye, S. Boyd, L. Xing

Distributional robust Kelly gambling

Q. Sun and S. Boyd

End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

V. Sitzmann, S. Diamond, Y. Peng, X. Dun, S. Boyd, W. Heidrich, F. Heide, and G. Wetzstein

Fitting jump models

A. Bemporad, V. Breschi, D. Piga, and S. Boyd

A semidefinite programming method for integer convex quadratic minimization

J. Park and S. Boyd

Parameter selection and pre-conditioning for a graph form solver

C. Fougner and S. Boyd

A rewriting system for convex optimization problems

A. Agrawal, R. Verschueren, S. Diamond, and S. Boyd

Convolutional imputation of matrix networks

Q. Sun, M. Yan, D. Donoho, and S. Boyd

A general system for heuristic solution of convex problems over nonconvex sets

S. Diamond, R. Takapoui, and S. Boyd

Saturating splines and feature selection

N. Boyd, T. Hastie, S. Boyd, S. Recht, and M. Jordan

2017

Stochastic proximal iteration: A non-asymptotic improvement upon stochastic gradient descent

E. Ryu and S. Boyd

Embedded code generation using the OSQP solver

G. Banjac, B. Stellato, N. Moehle, P. Goulart, A. Bemporad and S. Boyd

Toeplitz inverse covariance-based clustering of multivariate time series data

D. Hallac, S. Vare, S. Boyd, and J. Leskovec

Network inference via the time-varying graphical lasso

D. Hallac, Y. Park, S. Boyd, and J. Leskovec

Dynamic resource allocation for energy efficient transmission in digital subscriber lines

N. Zhang, Z. Yao, Y. Liu, S. Boyd, and Z.-Q. Luo

Dynamic energy management with scenario-based robust MPC

M. Wytock, N. Moehle, and S. Boyd

Multi-period trading via convex optimization

S. Boyd, E. Busseti, S. Diamond, R. Kahn, K. Koh, P. Nystrup, and J. Speth

General heuristics for nonconvex quadratically constrained quadratic programming

J. Park and S. Boyd

Learning the network structure of heterogeneous data via pairwise exponential Markov random fields

Y. Park, D. Hallac, S. Boyd, and J. Leskovec

Value function approximation for direct control of switched power converters

N. Moehle and S. Boyd

Stochastic matrix-free equilibration

S. Diamond and S. Boyd

Linear convergence and metric selection in Douglas-Rachford splitting and ADMM

P. Giselsson and S. Boyd

SnapVX: A network-based convex optimization solver

D. Hallac, C. Wong, S. Diamond, A. Sharang, R. Sosic, S. Boyd, and J. Leskovec.

2016

Maximum torque-per-current waveform design for induction motors via semidefinite programming

N. Moehle and S. Boyd

Antagonistic control

T. Lipp and S. Boyd

Optimization of rotational arc station parameter optimized radiation therapy

P. Dong, B. Ungun, S. Boyd, and L. Xing

A new architecture for optimization modeling frameworks

M. Wytock, S. Diamond, F. Heide, and S. Boyd

Linear programming heuristics for the graph isomorphism problem

R. Takapoui and S. Boyd

Matrix-free convex optimization modeling

S. Diamond and S. Boyd

A differential equation for modeling Nesterov’s accelerated gradient method

W. Su, S. Boyd, and E. Candes

Concave quadratic cuts for mixed-integer quadratic problems

J. Park and S. Boyd

Disciplined multi-convex programming

X. Shen, S. Diamond, M. Udell, Y. Gu, and S. Boyd

Generalized low rank models

M. Udell, C. Horn, R. Zadeh, and S. Boyd

Line search for averaged operator iteration

P. Giselsson, M. Fält, and S. Boyd

Variations and extensions of the convex-concave procedure

T. Lipp and S. Boyd

Disciplined convex-concave programming

X. Shen, S. Diamond, Y. Gu, and S. Boyd

Risk-constrained Kelly gambling

E. Busseti, E. Ryu, and S. Boyd

Conic optimization via operator splitting and homogeneous self-dual embedding

B. O'Donoghue, E. Chu, N. Parikh, and S. Boyd

Bounding duality gap for problems with separable objective

M. Udell and S. Boyd

Optimal current waveforms for switched reluctance motors

N. Moehle and S. Boyd

CVXPY: A python-embedded modeling language for convex optimization

S. Diamond and S. Boyd

A primer on monotone operator methods

E. Ryu and S. Boyd

MIMO PID tuning via iterated LMI restriction

S. Boyd, M. Hast, and K. J. Astrom

2015

Metric selection in fast dual forward backward splitting

P. Giselsson and S. Boyd

Model predictive control for wind power gradients

T. Hovgaard, S. Boyd, and J. Jørgensen

A perspective-based convex relaxation for switched-affine optimal control

N. Moehle and S. Boyd

Volume weighted average price optimal execution

E. Busseti and S. Boyd

Extensions of Gauss quadrature via linear programming

E. Ryu and S. Boyd

Optimal current waveforms for brushless permanent magnet motors

N. Moehle and S. Boyd

Disciplined convex stochastic programming: A new framework for stochastic optimization

A. Ali, Z. Kolter, S. Diamond, and S. Boyd

Convex optimization short course

S. Boyd, S. Diamond, and J. Park

Linear models based on noisy data and the Frisch scheme

L. Ning, T. Georgiou, A. Tannenbaum, and S. Boyd

Network lasso: Clustering and optimization in large graphs

D. Hallac, J. Leskovec, and S. Boyd

Russell Severance Springer lectures

S. Boyd

Approximate dynamic programming via iterated Bellman inequalities

Y. Wang, B. O'Donoghue, and S. Boyd

2014

Adaptive importance sampling via stochastic convex programming

E. Ryu and S. Boyd

Convex optimization in Julia

M. Udell, K. Mohan, D. Zeng, J. Hong, S. Diamond, and S. Boyd

Diagonal scaling in Douglas-Rachford splitting and ADMM

P. Giselsson and S. Boyd

Preconditioning in fast dual gradient methods

P. Giselsson and S. Boyd

Monotonicity and restart in fast gradient methods

P. Giselsson and S. Boyd

Optimal crowd-powered rating and filtering algorithms

A. Parameswaran, S. Boyd, H. Garcia-Molina, A. Gupta, N. Polyzotis, and J. Widom

IEEE control systems award acceptance speech

S. Boyd

Security constrained optimal power flow via proximal message passing

S. Chakrabarti, M. Kraning, E. Chu, R. Baldick, and S. Boyd

Block splitting for distributed optimization

N. Parikh and S. Boyd

Quadratic approximate dynamic programming for input-affine systems

A. Keshavarz and S. Boyd

Minimum-time speed optimization over a fixed path

T. Lipp and S. Boyd

Proximal algorithms

N. Parikh and S. Boyd

Performance bounds and suboptimal policies for multi-period investment

S. Boyd, M. Mueller, B. O'Donoghue, and Y. Wang

Dynamic network energy management via proximal message passing

M. Kraning, E. Chu, J. Lavaei, and S. Boyd

2013

The science of better: Embedded optimization in smart systems

S. Boyd

A primal-dual operator splitting method for conic optimization

E. Chu, B. O'Donoghue, N. Parikh, and S. Boyd

Risk group detection and survival function estimation for interval coded survival methods

V. Van Belle, P. Neven, V. Harvey, S. Van Huffel, J. Suykens, and S. Boyd

A splitting method for optimal control

B. O'Donoghue, G. Stathopoulos, and S. Boyd

Maximizing a sum of sigmoids

M. Udell and S. Boyd

Cost optimal operation of thermal energy storage system with real-time prices

T. Kashima and S. Boyd

PID design by convex-concave optimization

M. Hast, K. Astrom, B. Bernhardsson, and S. Boyd

ECOS: An SOCP solver for embedded systems

A. Domahidi, E. Chu, and S. Boyd

Code generation for embedded second-order cone programming

E. Chu, N. Parikh, A. Domahidi, and S. Boyd

Iterated approximate value functions

B. O'Donoghue, Y. Wang, and S. Boyd

A distributed algorithm for fitting generalized additive models

E. Chu, A. Keshavarz, and S. Boyd

Nonconvex model predictive control for commercial refrigeration

T. Hovgaard, L. Larsen, J. Jørgensen, and S. Boyd

2012

Accuracy at the top

S. Boyd, C. Cortes, M. Mohri, and A. Radovanovic

Robust optimization of adiabatic tapers for coupling to slow-light photonic-crystal waveguides

A Oskooi, A. Mutapcic, S. Noda, J. Joannopulos, S. Boyd, and S. Johnson

A mathematical model for interpretable clinical decision support with applications in gynecology

V. Van Belle, B. Van Calster, D. Timmerman, T. Bourne, C. Bottomley, L. Valentin, P. Neven, S. Van Huffel, J. Suykens, and S. Boyd

An ADMM algorithm for a class of total variation regularized estimation problems

B. Wahlberg, S. Boyd, M. Annergren, and Y. Wang

Moving horizon estimation for staged QP problems

E. Chu, A. Keshvarz, D. Gorinevsky, and S. Boyd

CVXGEN: A code generator for embedded convex optimization

J. Mattingley and S. Boyd

Smoothed state estimates under abrupt changes using sum-of-norms regularization

H. Ohlsson, F. Gustafsson, L. Ljung, and S. Boyd

2011

Block splitting for large-scale distributed learning

N. Parikh and S. Boyd

Performance bounds and suboptimal policies for linear stochastic control via LMIs

Y. Wang and S. Boyd

Min-max approximate dynamic programming

B. O'Donoghue, Y. Wang, and S. Boyd

Wind turbine pitch optimization

B. Biegel, M. Juelsgaard, M. Kraning, S. Boyd, and J. Stoustrup

Imputing a convex objective function

A. Keshavarz, Y. Wang, and S. Boyd

Load reduction of wind turbines using receding horizon control

M. Soltani, R. Wisniewski, P. Brath, and S. Boyd

Scalable statistical monitoring of fleet data

E. Chu, D. Gorinevsky, and S. Boyd

Operation and configuration of a storage portfolio via convex optimization

M. Kraning, Y. Wang, E. Akuiyibo, and S. Boyd

Controller coefficient truncation using Lyapunov performance certificate

J. Skaf and S. Boyd

Self-tuning for maximized lifetime energy-efficiency in the presence of circuit aging

E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra

Fast evaluation of quadratic control-Lyapunov policy

Y. Wang and S. Boyd

Distributed optimization and statistical learning via the alternating direction method of multipliers

S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein

Receding horizon control: Automatic generation of high-speed solvers

J. Mattingley, Y. Wang, and S. Boyd

Inferring stable genetic networks from steady-state data

M. Zavlanos, A. Julius, S. Boyd, and G. Pappas

Inverse design of a three-dimensional nanophotonic resonator

J. Lu, S. Boyd, and J. Vuckovic

2010

Design of affine controllers via convex optimization

J. Skaf and S. Boyd

Techniques for exploring the suboptimal set

J. Skaf and S. Boyd

Segmentation of ARX-models using sum-of-norms regularization

H. Olson, L. Ljung, and S. Boyd

Compressed sensing based cone-beam computed tomography reconstruction with a first-order method

K. Choi, J. Wang, L. Zhu, T. Suh, S. Boyd, and L. Xing

Real-time convex optimization in signal processing

J. Mattingley and S. Boyd

Adaptive modulation with smoothed flow utility

E. Akuiyibo and S. Boyd

A unified framework for 3D radiation therapy and IMRT planning: plan optimization in the beamlet domain by constraining and regularizing the fleunce map variations

B. Meng, L. Zhu, B. Widorw, S. Boyd, and L. Xing

Detecting aircraft performance anomalies from cruise flight data

E. Chu, D. Gorinesky, and S. Boyd

Shrinking-horizon dynamic programming

J. Skaf, S. Boyd, and A. Zeevi

Optimizing adaptive modulation in wireless networks via multi-period network utility maximization

D. O'Neill, E. Akuiyibo, S. Boyd, and A. Goldsmith

Fast algorithms for resource allocation in wireless cellular networks

R. Madan, S. Boyd, and S. Lall

Fast model predictive control using online optimization

Y. Wang and S. Boyd

Automatic code generation for real-time convex optimization

J. Mattingley and S. Boyd

Mixed linear system estimation and identification

A. Zymnis, S. Boyd, and D. Gorinevsky

Compressed sensing with quantized measurements

A. Zymnis, S. Boyd, and E. Candes

2009

An efficient method for large-scale slack allocation

S. Joshi and S. Boyd

Estimation of faults in DC electrical power system

D. Gorinevsky, S. Boyd, and S. Poll

Nonlinear Q-design for convex stochastic control

J. Skaf and S. Boyd

Processor speed control with thermal constraints

A. Mutapcic, S. Boyd, S. Murali, D. Atienza, G. De Micheli, and R. Gupta

Optimized self-tuning for circuit aging

E. Mintarno, J. Skaf, R. Zheng, J. Velamela, Y. Cao, S. Boyd, R. Dutton, and S. Mitra

Genetic network identification using convex programming

A. Julius, M. Zavlanos, S. Boyd, and G. Pappas

Fastest mixing Markov chain on graphs with symmetries

S. Boyd, P. Diaconis, P. Parrilo, and L. Xiao

Subspaces that minimize the condition number of a matrix

S. Joshi and S. Boyd

l1 trend filtering

S.-J. Kim, K. Koh, S. Boyd, and D. Gorinevsky

Cutting-set methods for robust convex optimization with pessimizing oracles

A. Mutapcic and S. Boyd

Robust design of slow-light tapers in periodic waveguides

A. Mutapcic, S. Boyd, A. Farjadpour, S. Johnson, and Y. Avniel

Analysis and synthesis of state-feedback controllers with timing jitter

J. Skaf and S. Boyd

Relaxed maximum a posteriori fault identification

A. Zymnis, S. Boyd, and D. Gorinevsky

Sensor selection via convex optimization

S. Joshi and S. Boyd

Convex piecewise-linear fitting

A. Magnani and S. Boyd

Performance bounds for linear stochastic control

Y. Wang and S. Boyd

Optimal estimation of deterioration from diagnostic image sequence

D. Gorinevsky, S.-J. Kim, S. Beard, S. Boyd, and G. Gordon

Regular analog/RF IC design using optimization with recourse including ellipsoidal uncertainty

Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, L. Pileggi, and S. Boyd

2008

Multi-period portfolio optimization with constraints and transaction costs

J. Skaf and S. Boyd

Enhancing sparsity by reweighted l1 minimization

E. Candes, M. Wakin, and S. Boyd

Mixed state estimation for a linear Gaussian Markov model

A. Zymnis, S. Boyd, and D. Gorinevsky

An efficient method for large-scale gate sizing

S. Joshi and S. Boyd

Further relaxations of the semidefinite programming approach to sensor network localization

Z. Wang, S. Zheng, Y. Ye, and S. Boyd

A minimax theorem with applications to machine learning, signal processing, and finance

S.-J. Kim and S. Boyd A. Zymnis, S. Boyd, and D. Gorinevsky

Filter design with low complexity coefficients

J. Skaf and S. Boyd

Compensation of multimode fiber dispersion using adaptive optics via convex optimization

R. Panicker, J. Kahn, and S. Boyd

Optimizing adaptive modulation in wireless networks via utility maximization

D. O'Neill, A. Goldsmith, and S. Boyd

Learning the kernel via convex optimization

S.-J. Kim, A. Zymnis, A. Magnani, K. Koh, and S. Boyd

Robust beamforming via worst-case SINR maximization

S.-J. Kim, A. Magnani, A. Mutapcic, S. Boyd, and Z.-Q. Luo

Tractable approximate robust geometric programming

K.-L. Hsiung, S.-J. Kim, and S. Boyd

Minimizing effective resistance of a graph

A. Ghosh, S. Boyd, and A. Saberi

Identification of stable genetic networks using convex programming

M. Zavlanos, A. Julius, S. Boyd and G. Pappas

Temperature control of high-performance multi-core platforms using convex optimization

S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, L. Benini, and G. De Micheli

Design of low-bandwidth spatially distributed feedback

D. Gorinevsky, S. Boyd, and G. Stein

Two-fund separation under model mis-specification

S.-J. Kim and S. Boyd

Graph implementations for nonsmooth convex programs

M. Grant and S. Boyd

2007

Fast computation of optimal contact forces

S. Boyd and B. Wegbreit

Robust efficient frontier analysis with a separable uncertainty model

S.-J. Kim and S. Boyd

Hyperspectral image unmixing via alternating projected subgradients

A. Zymnis, S.-J. Kim, J. Skaf, M. Parente, and S. Boyd

A tractable method for robust downlink beamforming in wireless communications

A. Mutapcic, S.-J. Kim, and S. Boyd

Dynamic network utility maximization with delivery contracts

N. Trichakis, A. Zymnis, and S. Boyd

Robust Chebyshev FIR equalization

A. Mutapcic, S.-J. Kim, and S. Boyd

Optimized slowdown in real-time task systems via geometric programming

A. Mutapcic, S. Murali, S. Boyd, R. Gupta, D. Atienza, and G. De Micheli

An interior-point method for large-scale network utility maximization

A. Zymnis, N. Trichakis, S. Boyd, and D. O'Neill

Beamforming with uncertain weights

A. Mutapcic, S.-J. Kim, and S. Boyd

Generalized Chebyshev bounds via semidefinite programming

L. Vandenberghe, S. Boyd, and K. Comanor

An interior-point method for large-scale l1-regularized logistic regression

K. Koh, S.-J. Kim, and S. Boyd

Portfolio optimization with linear and fixed transaction costs

M. Lobo, M. Fazel, and S. Boyd

Temperature-aware processor frequency assignment for MPSoCs using convex optimization

S. Murali, A. Mutapcic, D. Atienza, R. Gupta, S. Boyd, and G. De Micheli

A heuristic for optimizing stochastic activity networks with applications to statistical digital circuit sizing

S.-J. Kim, S. Boyd, S. Yun, D. Patil, and M. Horowitz

Distributed average consensus with least-mean-square deviation

L. Xiao, S. Boyd, and S.-J. Kim

A tutorial on geometric programming

S. Boyd, S.-J. Kim, L. Vandenberghe, and A. Hassibi

An interior point method for large-scale l1-regularized least squares

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky

An efficient method for large-scale l1-regularized convex loss minimization

K. Koh, S.-J. Kim, and S. Boyd

Distributed estimation via dual decomposition

S. Samar, S. Boyd, and D. Gorinevsky

2006

Extending scope of robust optimization

A. Ben Tal, S. Boyd, and A. Nemirovski

Upper bounds on algebraic connectivity via convex optimization

A. Ghosh and S. Boyd

The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem

J. Sun, S. Boyd, L. Xiao, and P. Diaconis

Embedded estimation of fault parameters in an unmanned aerial vehicle

S. Samar, D. Gorinevsky, and S. Boyd

Distributed average consensus with time-varying metropolis weights

L. Xiao, S. Boyd, and S. Lall

Array signal processing with robust rejection constraints via second-order cone programming

A. Mutapcic, S.-J. Kim, and S. Boyd

Design tools for emerging technologies

S. Johnson, Y. Avniel, J. White, and S. Boyd

Optimal kernel selection in kernel Fisher discriminant analysis

S.-J. Kim, A. Magnani, and S. Boyd

Pareto optimal linear classification

S.-J. Kim, A. Magnani, S. Samar, S. Boyd, and J. Lim

A duality view of spectral methods for dimensionality reduction

L. Xiao, J. Sun, and S. Boyd

Growing well-connected graphs

A. Ghosh and S. Boyd

A space-time diffusion scheme for peer-to-peer least-squares estimation

L. Xiao, S. Boyd, and S. Lall

Fastest mixing Markov chain on a path

S. Boyd, P. Diaconis, J. Sun, and L. Xiao

Randomized gossip algorithms

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

Optimal scaling of a gradient method for distributed resource allocation

L. Xiao and S. Boyd

Convex optimization of graph Laplacian eigenvalues

S. Boyd

Disciplined convex programming

M. Grant, S. Boyd, and Y. Ye

A heuristic method for statistical digital circuit sizing

S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz

Optimization-based design and implementation of multi-dimensional zero-phase IIR filters

D. Gorinesvky and S. Boyd

2005

Joint optimization of wireless communication and networked control systems

L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith

Likelihood bounds for constrained estimation with uncertainty

S. Samar, D. Gorinevsky, and S. Boyd

Geometric programming for circuit optimization

S. Boyd and S.-J. Kim

Tractable fitting with convex polynomials via sum-of-squares

A. Magnani, S. Lall, and S. Boyd

On time-invariant purified-output-based discrete time control

A. Ben Tal, S. Boyd, and A. Nemirovski

Power control in lognormal fading wireless channels with uptime probability specifications via robust geometric programming

K.-L. Hsiung, S.-J. Kim and S. Boyd

Robust minimum variance beamforming

R. Lorenz and S. Boyd

Piecewise-affine state feedback for piecewise-affine slab systems using convex optimization

L. Rodrigues and S. Boyd

OPERA: Optimization with ellipsoidal uncertainty for robust analog IC design

Y. Xu, K.-L. Hsiung, X. Li, I. Nausieda, S. Boyd, and L. Pileggi

Robust Fisher discriminant analysis

S.-J. Kim, A. Magnani, and S. Boyd

Digital circuit optimization via geometric programming

S. Boyd, S.-J. Kim, D. Patil, and M. Horowitz

Least-squares covariance matrix adjustment

S. Boyd and L. Xiao

Optimal doping profiles via geometric programming

S. Joshi, S. Boyd, and R. Dutton

A new method for design of robust digital circuits

D. Patil, S. Yun, S.-J. Kim, A. Cheung, M. Horowitz, and S. Boyd

Mixing times for random walks on geometric random graphs

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

Gossip algorithms: Design, analysis, and applications

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

A scheme for robust distributed sensor fusion based on average consensus

L. Xiao, S. Boyd, and S. Lall

Geometric programming applications to EDA problems

S. Boyd, S.-J. Kim, S. Mohan, M. Horowitz, and D. Patil

Symmetry analysis of reversible Markov chains

S. Boyd, P. Diaconis, P. Parrilo, L. Xiao

2004

Near-optimal depth constrained codes

P. Gupta, B. Prabhakar, and S. Boyd

A decomposition approach to distributed analysis of networked systems

C. Langbort, L. Xiao, R. D'Andrea, and S. Boyd

Moving horizon filter for monotonic trends

S. Samar, D. Gorinevsky, and S. Boyd

Distributed optimization for cooperative agents: Application to formation flight

R. Raffard, C. Tomlin, and S. Boyd

Analysis and optimization of randomized gossip algorithms

S. Boyd, A. Ghosh, B. Prabhakar, and D. Shah

MP-DSM: a distributed cross layer network control protocol

D. O'Neill, L. Yan, and S. Boyd

Rank minimization and applications in system theory

M. Fazel, H. Hindi, and S. Boyd

ORACLE: Optimization with recourse of analog circuits including layout extraction

Y. Xu, L. Pileggi, and S. Boyd

Equalization of modal dispersion in multimode fiber using spatial light modulators

E. Alon, V. Stojanovic, J. Kahn, S. Boyd, and M. Horowitz

Designing fast distributed iterations via semidefinite programming

L. Xiao and S. Boyd

2003

Throughput-centric routing algorithm design

B. Towles, W. Dally, and S. Boyd

Geometric programming duals of channel capacity and rate distortion

M. Chiang and S. Boyd

Control in an information rich world

R. Murray et al

Managing power consumption in networks on chips

T. Simunic, S. Boyd, and P. Glynn

Log-det heuristic for matrix rank minimization with applications to Hankel and Euclidean distance matrices

M. Fazel, H. Hindi, and S. Boyd

Adaptive management of network resources

D. O'Neill, D. Julian, and S. Boyd

Optimal routes and flows in congestion constrained ad hoc networks

D. O'Neill, D. Julian, and S. Boyd

Future directions in control in an information-rich world

R. Murray, K. Astrom, S. Boyd, R. Brockett, and G. Stein

Pricing and learning with uncertain demand

M. Lobo and S. Boyd

Worst-case capacity of vector Gaussian channels

S. Vishwanath, S. Boyd, and A. Goldsmith

Optimization of phase-locked loop circuits via geometric programming

D. Colleran, C. Portmann, A. Hassibi, C. Crusius, S. Mohan, S. Boyd, T. Lee, and M. Hershenson

Seeking Foschini's genie: Optimal rates and powers in wireless networks

D. O'Neill, D. Julian, and S. Boyd

Fast linear iterations for distributed averaging

L. Xiao and S. Boyd

Fastest mixing Markov chain on a graph

S. Boyd, P. Diaconis, and L. Xiao

Optimization-based tuning of low bandwidth control in spatially distributed systems

D. Gorinevsky, S. Boyd, and G. Stein

Joint optimization of communication rates and linear systems

L. Xiao, M. Johansson, H. Hindi, S. Boyd, and A. Goldsmith

2002

Advances in convex optimization: Interior-point methods, cone programming, and applications

S. Boyd and L. Vandenberghe

Computing optimal uncertainty models from frequency domain data

H. Hindi, C.-Y. Seong, and S. Boyd

An ellipsoidal approximation to the Hadamard product of ellipsoids

R. Lorenz and S. Boyd

Convex optimization of output link scheduling and active queue management in QoS constrained packet switches

M. Chiang, B. Chan, and S. Boyd

QoS and fairness constrained convex optimization of resource allocation for wireless cellular and ad hoc networks

D. Julian, M. Chiang, D. O'Neill, and S. Boyd

Efficient nonlinear optimization of queueing systems

M. Chiang, A. Sutivong, and S. Boyd

Optimal power control in interference limited fading wireless channels with outage probability specifications

S. Kandukuri and S. Boyd

2001

Simultaneous routing and resource allocation in CDMA wireless data networks

M. Johansson, L. Xiao, and S. Boyd

Advances in convex optimization: Theory, algorithms, and applications

S. Boyd, L. Vandenberghe

Simultaneous routing and resource allocation via dual decomposition

L. Xiao, M. Johansson, and S. Boyd

Resource allocation for QoS provisioning in wireless ad hoc networks

M. Chiang, D. O'Neill, D. Julian, and S. Boyd

Robust linear programming and optimal control

L. Vandenberghe, S. Boyd, and M. Nouralishahi

Iterative water-filling for Gaussian vector multiple access channels

W. Yu, W. Rhee, S. Boyd, and J. Cioffi

Design of robust global power and ground networks

S. Boyd, L. Vandenberghe, A. El Gamal, and S. Yun

Optimal design of a CMOS op-amp via geometric programming

M. Hershenson, S. Boyd, and T. Lee

Optimal allocation of local feedback in multistage amplifiers via geometric programming

J. Dawson, S. Boyd, M. Hershenson, and T. Lee

A rank minimization heuristic with application to minimum order system approximation

M. Fazel, H. Hindi, and S. Boyd

2000

Simutaneous rate and power control in multirate CDMA systems

S. Kandukuri and S. Boyd

On achieving reduced error propagation sensitivity in DFE design via convex optimization

R. Kosut, W. Chung, C. Johnson, and S. Boyd

Finding ultimate limits of performance for hybrid electric vehicles

E. Tate and S. Boyd

Worst-case risk of a portfolio

M. Lobo and S. Boyd

SDPSOL: a parser/solver for semidefinite programs with matrix structure

S.-P. Wu and S. Boyd

Bandwidth extension in CMOS with optimized on-chip inductors

S. Mohan, M. Hershenson, S. Boyd, and T. Lee

Dynamic emission tomography - regularization and inversion

J. Maeght, D. Noll, and S. Boyd

1999

Crisis in scholarly publishing C-LIB subcommittee summary

S. Boyd and A. Herkovic

Low-authority controller design via convex optimization

A. Hassibi, J. How, and S. Boyd

Simple accurate expressions for planar spiral inductances

S. Mohan, M. Hershenson, S. Boyd, and T. Lee

Applications of semidefinite programming

L. Vandenberghe and S. Boyd

Entropy and random feedback

S. Boyd

Control of asynchronous dynamical systems with rate constraints on events

A. Hassibi, S. Boyd, and J. How

Design and optimization of LC oscillators

M. Hershenson, A. Hajimiri, S. Mohan, S. Boyd, and T. Lee

A two-bit scheme for routing lookup

B. Prabhakar, P. Gupta, and S. Boyd

Policies for simultaneous estimation and optimization

M. Lobo and S. Boyd

A path-following method for solving BMI problems in control

A. Hassibi, J. How, and S. Boyd

A class of Lyapunov functionals for analyzing hybrid dynamical systems

A. Hassibi, S. Boyd, and J. How

Optimization of inductor circuits via geometric programming

M. Hershenson, S. Mohan, S. Boyd, and T. Lee

1998

Applications of second-order cone programming

M. Lobo, L. Vandenberghe, S. Boyd, and H. Lebret

Integer parameter estimation in linear models with applications to GPS

A. Hassibi and S. Boyd

Optimal temperature profiles for post-exposure bake of photoresist

A. Hansson and S. Boyd

Robust optimal control of linear discrete-time systems using primal-dual interior-point methods

A. Hansson and S. Boyd

Connections between semi-infinite and semidefinite programming

L. Vandenberghe and S. Boyd

Determinant maximization with linear matrix inequality constraints

L. Vandenberghe, S. Boyd, and S.-P. Wu

Optimizing dominant time constant in RC circuits

L. Vandenberghe, S. Boyd, and A. El Gamal

Control applications of nonlinear convex programming

S. Boyd, C. Crusius, and A. Hansson

Synthesizing stability regions for systems with saturating actuators

T. Pare, H. Hindi, J. How, and S. Boyd

Analysis of linear systems with saturation using convex optimization

H. Hindi and S. Boyd

GPCAD: A tool for CMOS op-amp synthesis

M. Hershenson, S. Boyd, and T. Lee

FIR filter design via spectral factorization and convex optimization

S.-P. Wu, S. Boyd, and L. Vandenberghe

Control-relevant experiment design: a plant-friendly, LMI-based approach

B. Cooley, J. Lee, and S. Boyd

Multiobjective H_2/H_infinity-optimal control via finite dimensional Q-parametrization and linear matrix inequalities

H. Hindi, B. Hassibi, S. Boyd

Robust solutions to l1, l2, and l_infinity uncertain linear approximation problems using convex optimization

H. Hindi and S. Boyd

Quadratic stabilization and control of piecewise-linear systems

A. Hassibi and S. Boyd

An implementation of discrete multi-tone over slowly time-varying multiple-input/multiple-output channels

A. Tehrani, A. Hassibi, S. Boyd, and J. Cioffi

1997

Antenna array pattern synthesis via convex optimization

H. Lebret and S. Boyd

Semidefinite programming relaxations of non-convex problems in control and combinatorial optimization

S. Boyd and L. Vandenberghe

A global BMI algorithm based on the generalized Benders decomposition

E. Beran, L. Vandenberghe, and S. Boyd

Optimal wire and transistor sizing for circuits with non-tree topology

L. Vandenberghe, S. Boyd, and A. El Gamal

Obstacle collision detection using best ellipsoid fit

E. Rimon and S. Boyd

Optimal linear static control with moment and yield objectives

A. Hansson, S. Boyd, L. Vandenberghe, and M. Lobo

1996

Semidefinite programming

L. Vandenberghe and S. Boyd

Control for advanced semiconductor device manufacturing: a case history

T. Kailath, C. Schaper, Y. Cho, P. Gyugyi, S. Norman, P. Park, S. Boyd, G. Franklin, K. Saraswat, M. Moslehi, and C. Davis

Design and implementation of a parser/solver for SDPs with matrix structure

S.-P. Wu and S. Boyd

Optimal excitation signal design for frequency domain system identification using semidefinite programming

G. Javorzky, I. Kollar, L. Vandenberghe, S. Boyd, and S.-P. Wu

1995

Review of Mathematical Control Theory: Deterministic Finite-Dimensional Systems

S. Boyd

A primal-dual potential reduction method for problems involving matrix inequalities

L. Vandenberghe and S. Boyd

CRCD program: convex optimization for engineering analysis and design

S. Boyd and L. Vandenberghe

1994

Existence and uniqueness of optimal matrix scalings

V. Balakrishnan and S. Boyd

Generalized access control strategies for integrated services token passing systems

J. Pang, F. Tobagi, and S. Boyd

Robust control tools: graphical user-interfaces and LMI algorithms

S. Boyd

Improving static performance robustness of thermal processes

M. Kabuli, R. Kosut and S. Boyd

Efficient convex optimization for engineering design

S. Boyd, L. Vandenberghe, and M. Grant

History of linear matrix inequalities in control theory

S. Boyd, E. Feron, V. Balakrishnan, and L. El Ghaoui

Tradeoffs in frequency-weighted H_infinity-control

V. Balakrishnan and S. Boyd

1993

Method of centers for minimizing generalized eigenvalues

S. Boyd and L. El Ghaoui

Closed-loop convex formulation of classical and singular value loop shaping

C. Barratt and S. Boyd

Solving interpolation problems via generalized eigenvalue minimization

S. Boyd and L. El Ghaoui

Control systems analysis and synthesis via linear matrix inequalities

S. Boyd, V. Balakrishnan, E. Feron, and L. El Ghaoui

A polynomial-time algorithm for determining quadratic Lyapunov functions for nonlinear systems

L. Vandenberghe and S. Boyd

Linear matrix inequalities in system and control theory

S. Boyd, L. El Ghaoui, E. Feron, and V. Balakrishnan

1992

Set-membership identification of systems with parametric and nonparametric uncertainty

R. Kosut, M. Lau, and S. Boyd

On computing the worst-case peak gain of linear systems

V. Balakrishnan and S. Boyd

Global optimization in control system analysis and design

V. Balakrishnan and S. Boyd

Design of stablizing state feedback for delay systems via convex optimization

E. Feron, V. Balakrishnan, and S. Boyd

Efficient distance computation using best ellipsoid fit

E. Rimon and S. Boyd

On maximizing a robustness measure for structured nonlinear perturbations

L. El Ghaoui, V. Balakrishnan, E. Feron, and S. Boyd

Numerical methods for H_2 related problems

E. Feron, V. Balakrishnan, S. Boyd, and L. El Ghaoui

Computing bounds for the structured singular value via an interior point algorithm

V. Balakrishnan, E. Feron, S. Boyd and, L. El Ghaoui

Multivariable feedback control of semiconductor wafer temperature

S. Norman and S. Boyd

Interactive loop-shaping design of MIMO controllers

C. Barratt and S. Boyd

Dynamics and control of a rapid thermal multiprocessor

C. Schaper, Y. Cho, P. Gyugyi, G. Hoffmann, S. Norman, P. Park, S. Boyd, G. Franklin, T. Kailath, and K. Saraswat

Branch-and-bound algorithm for computing the minimum stability degree of parameter-dependent linear systems

V. Balakrishnan, S. Boyd, and S. Balemi

Closed-loop convex analysis of performance limits for linear control systems

S. Boyd and C. Barratt

1991

Computing the minimum stability degree of parameter-dependent linear systems

V. Balakrishnan, S. Boyd, and S. Balemi

On optimal signal sets for digital communications with finite precision and amplitude constraints

M. Honig, S. Boyd, B. Gopinath, and E. Rantapaa

Computation of the worst-case covariance for linear systems with uncertain parameters

V. Balakrishnan and S. Boyd

Robust control design for ellipsoidal plant set

M. Lau, S. Boyd, R. Kosut, and G. Franklin

Computation of the maximum H_infinity-norm of parameter-dependent linear systems by a branch and bound algorithm

S. Balemi, S. Boyd, and V. Balakrishnan

A robust control design for FIR plants with parameter set uncertainty

M. Lau, S. Boyd, R. Kosut, and G. Franklin

Improvement of temperature uniformity in rapid thermal processing systems using multivariable control

S. Norman, C. Schaper, and S. Boyd

1990

A regularity result for the singular values of a transfer matrix and a quadratically convergent algorithm for computing its L_infinity-norm

S. Boyd and V. Balakrishnan

Numerical solution of a two-disk problem

S. Norman and S. Boyd

Bounds on maximum throughput for digital communications with finite-precision and amplitude constraints

M. Honig, K. Steiglitz, B. Gopinath, and S. Boyd

Linear controller design: Limits of performance via convex optimization

S. Boyd, C. Barratt, and S. Norman

Parameter set estimation of systems with uncertain nonparametric dynamics and disturbances

M. Lau, R. Kosut, and S. Boyd

Stability robustness of linear systems to real parametric perturbations

L. El Ghaoui and S. Boyd

A branch and bound methodology for matrix polytope stability problems arising in power systems

C. Demarco, S. Boyd, and V. Balakrishnan

Identification of systems with parametric and nonparametric uncertainty

R. Kosut, M. Lau, and S. Boyd

1989

Example of exact trade-offs in linear controller design

C. Barratt and S. Boyd

Structured and simultaneous Lyapunov functions for system stability problems

S. Boyd and Q. Yang

A bisection method for computing the H_infinity-norm of a transfer matrix and related problems

S. Boyd, V. Balakrishnan, and P. Kabamba

1988

A new CAD method and associated architectures for linear controllers

S. Boyd, V. Balakrishnan, C. Barratt, N. Khraishi, X. Li, D. Meyer, and S. Norman

Perturbation bounds for structured robust stability

E. Abed and S. Boyd

On parametric H_infinity optimization

P. Kabamba and S. Boyd

On computing the H_infinity-norm of a transfer matrix

S. Boyd, V. Balakrishnan, and P. Kabamba

1987

On the spectral density of some stochastic processes

S. Boyd and D. Hajela

Comparison of peak and RMS gains for discrete-time systems

S. Boyd and J. Doyle

Design of l1 optimal controllers

J. Pearson and S. Boyd

1986

Multitone signals with low crest factor

S. Boyd

Necessary and sufficient conditions for parameter convergence in adaptive control

S. Boyd and S. Sastry

A note on the order of l1-optimal compensators

D. Meyer and S. Boyd

A note on parametric and nonparametric uncertainties in control systems

S. Boyd

1985

Fading memory and the problem of approximating nonlinear operators with Volterra series

S. Boyd and L. Chua

Dynamical system state need not have spectrum

S. Boyd and L. Chua

Uniqueness of circuits and systems containing one nonlinearity

S. Boyd and L. Chua

Subharmonic functions and performance bounds on linear time-invariant feedback systems

S. Boyd and C. Desoer

Low rate distributed quantization of noisy observations

R. Gray, S. Boyd and T. Lookabaugh

Volterra series for nonlinear circuits

S. Boyd and L. Chua

Volterra series: Engineering fundamentals

S. Boyd

1984

Analytical foundations of Volterra series

S. Boyd, L. Chua, and C. Desoer

Structures for nonlinear systems

S. Boyd and L. Chua

1983

On parameter convergence in adaptive control

S. Boyd and S. Sastry

Uniqueness of a basic nonlinear structure

S. Boyd and L. Chua

Measuring Volterra kernels

S. Boyd, Y. Tang, and L. Chua

1982

On the passivity criterion for LTI N-Ports

S. Boyd and L. Chua

1980

Hausdorff measures on the line

S. Boyd