ELEC-E8116 - Model-Based Control Systems D, Lecture, 6.9.2023-12.12.2023

Osion kuvaus

• Lectures
  • Valitse aktiviteetti Lecture 1

    

    Lecture 1 Tiedosto PDF
  • Valitse aktiviteetti Lecture 1 (print)

    

    Lecture 1 (print) Tiedosto PDF
  • Valitse aktiviteetti Lecture 2

    

    Lecture 2 Tiedosto PDF
  • Valitse aktiviteetti Lecture 2 (print)

    

    Lecture 2 (print) Tiedosto PDF
  • Valitse aktiviteetti Lecture 3

    

    Lecture 3 Tiedosto PDF
  • Valitse aktiviteetti Lecture 3 (print)

    

    Lecture 3 (print) Tiedosto PDF
  • Valitse aktiviteetti Lecture 4

    

    Lecture 4 Tiedosto PDF
  • Valitse aktiviteetti Lecture 4 (print)

    

    Lecture 4 (print) Tiedosto PDF
  • Valitse aktiviteetti Lecture 5

    

    Lecture 5 Tiedosto PDF
  • Valitse aktiviteetti Lecture 5 (print)

    

    Lecture 5 (print) Tiedosto PDF
  • Valitse aktiviteetti Lecture 6

    

    Lecture 6 Kansio

    The topics of lecture 5 continue.  The previous lecture slides still apply.

    -Example of Mixed Sensitivity Design

    - Fundamental restrictions of control

  • Valitse aktiviteetti Lecture 7

    

    Lecture 7 Tiedosto PDF

    - Fundamental restrictions of control (previous slides)

    - Dynamic Programming and Linear Quadratic optimal control

  • Valitse aktiviteetti Lecture 8

    

    Lecture 8 Kansio

    - Linear Quadratic Regulator (LQ), discrete time and continuous time cases

    - Dynamic programming

    - The Hamilton-Jacobi-Bellman equation

    - Connection to Pontryagin's maximum principle

    -Slides of the previous lecture apply

  • Valitse aktiviteetti Lecture 9

    

    Lecture 9 Kansio

    - From previous LQ theory: adding an integrator in the control loop.

    - Chapter 6:  Introduction to multivariable control analysis:  The Relative Gain Array (RGA)

  • Valitse aktiviteetti Lecture 10

    

    Lecture 10 Kansio

    Chapter 6 applies:

    - Introduction to Relative Gain Array (RGA) analysis

    - Internal Model Control (IMC)

    - The Smith Predictor

  • Valitse aktiviteetti Lecture 11

    

    Lecture 11 Kansio

    -Introduction to Model Predictive Control

  • Valitse aktiviteetti Lecture 12 (the final lecture)

    

    Lecture 12 (the final lecture) Kansio

    - LQG control

    - Robustness of LQ(G) control

    -Loop Transfer Recovery (LTR)

    - Formal Loop Shaping

    -End of lectures

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