Summary
International Symposium on Nonlinear Theory and its Applications
2008
Session Number:B3L-F
Session:
Number:B3L-F4
TS-Type Fuzzy Automaton for Supervisory Control
Janos L. Grantner, George A. Fodor,
pp.-
Publication Date:2008/9/7
Online ISSN:2188-5079
Summary:
Event-driven, large control systems often encounter unexpected events in an uncertain environment. Using a fuzzy automaton offers an effective approximation method to model continuous and discrete signals in a single theoretical framework. A Max-Min automaton can successfully model a cluster of relevant states when a decision is to be made on the next state of a goal path at the supervisory level. However, to provide analytical proof for stability of a fuzzy controller a Takagi-Sugeno inference model is preferred. In this paper a TS-type fuzzy automaton is proposed.