Fuzzy Modelling and Control

Garant předmětu:

Lecturer:

Tutor:

Supervisor:

Department of Control Engineering

Synopsis:

The goal of the subject is to introduce the up-to-date trends and results in the area of modelling and control of nonlinear systems based on fuzzy logic and neural networks. This includes especially analysis and synthesis of Takagi-Sugeno fuzzy systems, utilization of fuzzy systems and neural networks in control of nonlinear systems by approximation of unknown functions appearing in the description of the system, and design of adaptive fuzzy systems both direct and indirect.

Requirements:

Syllabus of lectures:

Introduction of fuzzy logic, history of utilization of fuzzy logic in modeling and control of nonlinear systems

Terminology and principles of fuzzy logic - fuzzy set, fuzzy operations and relation, linguistic variable, approximate reasoning, fuzzy rule base, inference mechanisms

Neural networks - types and properties, learning algorithms

Fuzzy modeling - design of fuzzy systems using gradient methods, least squares algorithms, fuzzy clustering (recursive and non-recursive algorithms fuzzy c-means, Gustafson-Kessel a Gath-Geva)

Analysis and synthesis of Takagi-Sugeno fuzzy systems using different Lyapunov function candidates

Control of nonlinear fuzzy systems using fuzzy logic and neural networks - sliding mode control, backstepping

Design of direct and indirect adaptive fuzzy controllers

Syllabus of tutorials:

Study Objective:

Study materials:

Li-Xin Wang: A Course in Fuzzy Systems and Control, Prentice Hall, 1997

Vybrané články z časopisů IEEE Transactions on Fuzzy Control, IEEE Transactions on Systems, Man and Cybernetics, Fuzzy Sets and Systems

Note:

Further information:

http://dce.fel.cvut.cz/studium/fuzzy-modelovani-rizeni-0

No time-table has been prepared for this course

The course is a part of the following study plans:

• Doctoral studies, daily studies (compulsory elective course)
• Doctoral studies, combined studies (compulsory elective course)
• Doctoral studies, structured daily studies (compulsory elective course)
• Doctoral studies, structured combined studies (compulsory elective course)