Advanced Control Design Methods

Introduction, definitions of important concepts, identification of the needs for the extension of control design approaches

Large-scale systems, multivariable systems, phase-nonminimal systems, systems with a dead time, nonlinear systems

Presentation and analysis of complex systems in time and frequency domain, with emphasis on parallelisms and differences to the conventional presentations

Control design quality criteria in time and frequency domain and concepts of optimality (classical approaches and problems in complex systems which are reflected in the corresponding definition of fitness function and convergence of classical methods, the usage of evolutionary computation and some relative advantages )

Introduction of control design approaches that rely on direct extensions of classical methods (hierarchical and decentralized control, tuning, decoupling, INA , IMC , pole placement using dyadic contoller structures)

Adaptive controllers and some of design approaches

Usage of evolutionary computation methods in the design of complex systems with emphasis on the effective combination of the presented algorithms

Concepts of expert systems in control design

Usage of program MATLAB with corresponding toolboxes

Illustrative examples of control design of complex laboratory pilot plants.

Course goals are:

• to classify complex controlled systems,

• to describe analytical methods which explain important properties of such systems,

• to present parallelisms and necessary extensions in relation to classical control design approaches,

• to present some of efficiant control design approaches with emphasis on different aspects of optimality,

• to present some of MATLAB toolboxes and their usefulness in support of the issues being discussed,
• to acquaint students with appropriate literature search, research work, and appropriate written and oral presentation of design results.

Lectures, homeworks, laboratory exercises, seminar and project work