35169 - Advanced Control Systems M

Academic Year 2019/2020

Learning outcomes

The course aims to present advanced control methodologies for linear and nonlinear multivariable systems. The basic objective is to provide optimal control techniques in the deterministic and stochastic framework and to introduce the student to basic approaches of robust control for nonlinear systems in the state space.

Course contents

  • Dynamic systems representation
  • Stability of linear systems
  • Reachability and controllability
  • Observability and reconstructability
  • Optimal control
  • Optimal control by state feedback
  • Optimal frequency-shaped control
  • Optimal estimation and regulation in the stochastic framework
  • Basics for the analysis of nonlinear systems
  • Basics for the synthesis of nonlinear control systems
  • Basics of robust control
  • Hoo control
  • Small gain theorem and robust stabilisation of linear systems

Readings/Bibliography

  • A. Isidori, ``Nonlinear Control Systems'', Springer Verlag
  • H. Khalil, ``Nonlinear Systems'', Prentice Hall
  • G. Strang, ``Linear Algebra and its Applications'', Thomson
  • Teaching methods

    • Black board
    • Matlab/Simulink sessions with the laptop in class

    Assessment methods

    Oral examination

    Teaching tools

    • Notes on some topics not covered by the bibliography
    • Matlab-Simulink scripts

    Office hours

    See the website of Lorenzo Marconi