DocumentCode :
325196
Title :
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
Link To Document :
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