EE392m: Control Engineering Methods for Industry

Stanford University, Winter Quarter 2002-2003

www.stanford.edu/class/ee392m/

Dimitry Gorinevsky



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Lecture notes

Cover page and table of content

  1. Introduction and history
  2. Modeling and simulation Franklin Ch.2 and 8 (except 8.5), Astrom Ch.3 (except 3.5 and 3.7), Goodwin Ch.3 and 12 (12.1-12.7)
  3. Control engineering problems in industry
  4. PID control Franklin Ch.4 (4.2), Astrom Ch.6, Goodwin Ch.6
  5. Feedforward Astrom Ch.8, Goodwin Ch.10 (10.5 and 10.6)
  6. SISO loop analysis Franklin 3.3, 3.4, 6.2-6.4, Astrom Ch.5, 7.1-7.5, Goodwin Ch.5
  7. SISO system design Franklin 6.6, 6.9, 9.2, Astrom 5.9, Goodwin, Ch.8, 9.2
  8. Model identification Franklin 6.11, also see the paper of L.Ljung at IEEE Conf. on Decision and Control, 2002
  9. Processes with deadtime, IMC Goodwin, Ch.15 (15.1-15.3, 15.5, 15.8)
  10. Multivariable optimization in control loop
  11. Optimal control program
  12. MPC - receding horizon control
  13. Handling nonlinearity
  14. System health management
  15. Advanced topics - Distributed system control

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Support notes

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Homework

Homework assignments for EE392m


EE392m


Matlab files

Matlab files needed for homework assignments and exams.

EE392m