FUZZY-NEURAL NETWORK CONTROLLERS USING MEAN-VALUE-BASED FUNCTIONAL REASONING

WATANABE, K; HARA, K; KOGA, S; TZAFESTAS, SG

dc.contributor.author	WATANABE, K	en
dc.contributor.author	HARA, K	en
dc.contributor.author	KOGA, S	en
dc.contributor.author	TZAFESTAS, SG	en
dc.date.accessioned	2014-03-01T01:11:03Z
dc.date.available	2014-03-01T01:11:03Z
dc.date.issued	1995	en
dc.identifier.issn	0925-2312	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11539
dc.subject	FUZZY REASONING	en
dc.subject	FUZZY CONTROL	en
dc.subject	VSS CONTROL	en
dc.subject	DESIGN OF FUZZY CONTROLLER	en
dc.subject	ITERATIVE LEARNING CONTROL	en
dc.subject	NEURAL NETWORKS	en
dc.subject	FUZZY-NEURAL NETWORK	en
dc.subject	MOBILE ROBOT	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.other	SYSTEMS	en
dc.subject.other	ALGORITHMS	en
dc.title	FUZZY-NEURAL NETWORK CONTROLLERS USING MEAN-VALUE-BASED FUNCTIONAL REASONING	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0925-2312(95)00052-8	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0925-2312(95)00052-8	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	A new fuzzy reasoning, which is called mean-value-based functional reasoning, is proposed in which the conclusion consists of a function of mean-values on each membership function in the antecedent. From the view point of control theory, i,e. if the conclusion is regarded as a VSS controller, it is possible to rationally design the constant parameters included in the conclusion for the usual functional reasoning and mean-value-based functional reasoning, Furthermore, some fuzzy-neural network controllers are constructed by applying such functional reasonings. Then, the number of learning parameters in the conclusion for the mean-value-based functional reasoning is shown to be reduced drastically, compared with those due to the usual functional reasoning and simplified reasoning. The effectiveness of the proposed method is illustrated by computer simulations for the tracking control problem of a mobile robot driven by two independent wheels.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	NEUROCOMPUTING	en
dc.identifier.doi	10.1016/0925-2312(95)00052-8	en
dc.identifier.isi	ISI:A1995RW10200004	en
dc.identifier.volume	9	en
dc.identifier.issue	1	en
dc.identifier.spage	39	en
dc.identifier.epage	61	en