Hybrid fuzzy-Boolean automata for ontological controllers

Author

Grantner, Janos L. ; Fodor, George ; Driankov, Dimiter

Author_Institution

Western Michigan Univ., Kalamazoo, MI, USA

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

400

Abstract

This paper introduces a hybrid fuzzy-Boolean finite state machine (HFB FSM) model for ontological control. Ontological control is a novel type supervisory control that deals with the problems of error detection and recovery in complex control systems. The HFB FSM is used as a specification method for the problem of recovery when an autonomous control system encounters unexpected changes in its environment. The method allows a controller B (the ontological controller) to trigger a recovery operation on controller A when B has the recovery specification of A. The approach has important potential applications in industry

Keywords

Boolean algebra; finite state machines; fuzzy control; large-scale systems; HFB FSM; complex control systems; error detection; error recovery; hybrid fuzzy-Boolean automata; hybrid fuzzy-Boolean finite state machine; ontological controllers; recovery specification; Automata; Automatic control; Chemical industry; Control systems; Electrical equipment industry; Error correction; Industrial control; Ontologies; Programmable control; Supervisory control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687519

Filename

687519