English

Every spring semester

The aim of the course is to provide advanced knowledge and skills about design of control systems that include predictive, adaptive and learning algorithms for control of time-variable and partially unknown processes with disturbances, including stability and interaction between control and identification.

Real-time identification, Recursive identification, Automatic controller tuning, Gain scheduling, Automatic calibration, Discrete-time linear systems, Pole-placement, Model reference system, Disturbance models, Optimal prediction, Optimal model-based predictive control, Adaptive control, Self-tuning control, Stochastic adaptive control, Model reference adaptive control, Stability, Passivity, Robustness, Model-predictive control, Iterative learning control, Iterative controller tuning, Applications and software

be able to define the basic concepts for systems with muliple input and output signals
be able to translate between different multivariable system descriptions, in particular transient responses, transfer function matrices, and state-space descriptions
be able to compute the properties of interconnected systems from the properties of the subparts
be able to show how limitations in process knowledge put limitations on the achievable control performance
understand possibilities and limitations in the use of adaptation and learning

be able to formulate control specifications for predictive control
be able to translate control specifications for model-based control problems
be able to draw conclusions from the results of predictive control about model plausibility and specifications

understand relations and limitations when simplified models are used to describe complex and multivariable systems
show ability for teamwork and group collaboration during laboratory experiments and projects

Lectures

Laboratory exercises

Exercises

Project

Written exam

Written assignments

Assessment: Written exam, project, three laboratory exercises, two hand-in problems.

Failed, pass

Johansson, R.: Predictive and Adaptive Control. Department of Automatic Control, LTH, 2010.

FRTN15F

 -10-27

Professor Thomas Johansson