Design and analysis of a learning control system

Author

Zhang, B.S. ; Leigh, J.R.

Author_Institution

Ind. Control Centre, Westminster Univ., London, UK

fYear

1993

fDate

17-20 Oct 1993

Firstpage

618

Abstract

A learning control scheme is presented. The control action in this scheme is computed by referring to a decision table which is on-line modified, rather than by mathematically analyzing the dynamics of the control problems and then solving some equations. The controller combines the discretised input commands (if any) and feedback variables into a vector to address a memory where the appropriate output variables are stored. The learning algorithm is designed using the idea of sliding mode. Convergence conditions of a learning algorithm are given. The quantisation effects of measurement variables on convergence of learning are analysed

Keywords

control system analysis; control system synthesis; convergence; feedback; learning systems; convergence conditions; decision table; discretised input commands; feedback variables; learning algorithm; learning control system; measurement variables; quantisation effects; sliding mode; Adaptive control; Algorithm design and analysis; Automatic control; Automatic generation control; Control systems; Convergence; Fuzzy control; Nonlinear control systems; Programmable control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1993. 'Systems Engineering in the Service of Humans', Conference Proceedings., International Conference on

Conference_Location

Le Touquet

Print_ISBN

0-7803-0911-1

Type

conf

DOI

10.1109/ICSMC.1993.384943

Filename

384943