Linguistic Adaptive Critics for tuning fuzzy controllers

Author

Shannon, Thaddeus T.

Author_Institution

NW Computational Intelligence Lab., Portland State Univ., OR, USA

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

281

Abstract

In this paper we demonstrate the use of Linguistic Adaptive Critics (LACs) for the design of fuzzy control systems. This technique is related to Adaptive Critic based Approximate Dynamic Programming as developed and applied in the neurocontrol context. We have previously shown how such techniques can be conveniently generalized to fuzzy controllers or neuro-fuzzy hybrids. We demonstrate LACs by designing a temperature controller for a simple water bath system.

Keywords

adaptive control; approximation theory; control system synthesis; dynamic programming; fuzzy control; fuzzy systems; learning systems; neurocontrollers; temperature control; approximate dynamic programming; fuzzy control system design; fuzzy controller tuning; fuzzy controllers; linguistic adaptive critics; neurocontrol; neurofuzzy hybrids; temperature controller design; water bath system; Adaptive control; Communication system control; Computational intelligence; Control systems; Dynamic programming; Fuzzy control; Laboratories; Los Angeles Council; Programmable control; Temperature control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1336292

Filename

1336292