Learning Fuzzy Automaton's Event Transition Matrix When Post-Event State Is Unknown

Compared to other system modeling techniques, the fuzzy discrete event systems (FDESs) methodology has the unique capability of modeling a class of event-driven systems as fuzzy automata with ambiguous state and event-invoked state transition. In two recent papers, we developed algorithms for online...

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Veröffentlicht in:	IEEE transactions on cybernetics Jg. 52; H. 6; S. 4993 - 5000
Hauptverfasser:	Ying, Hao, Lin, Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Automata Computer simulation Discrete event systems Fuzzy automata fuzzy discrete event systems (FDESs) Fuzzy sets Fuzzy systems Learning automata Machine learning Mathematical model Medical services Modelling stochastic gradient descent supervised learning
ISSN:	2168-2267, 2168-2275, 2168-2275
Online-Zugang:	Volltext
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