Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy

doi:10.1016/j.ins.2012.08.007

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Li, Shih-Yu	en_US
dc.contributor.author	Yang, Cheng-Hsiung	en_US
dc.contributor.author	Chen, Shi-An	en_US
dc.contributor.author	Ko, Li-Wei	en_US
dc.contributor.author	Lin, Chin-Teng	en_US
dc.date.accessioned	2014-12-08T15:29:09Z	-
dc.date.available	2014-12-08T15:29:09Z	-
dc.date.issued	2013-02-10	en_US
dc.identifier.issn	0020-0255	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.ins.2012.08.007	en_US
dc.identifier.uri	http://hdl.handle.net/11536/21016	-
dc.description.abstract	A novel adaptive control strategy is proposed herein to increase the efficiency of adaptive control by combining Takagi-Sugeno (T-S) fuzzy modeling and the Ge-Yao-Chen (GYC) partial region stability theory. This approach provides two major contributions: (1) increased synchronization efficiency, especially for parameters tracing and (2) a simpler controller design. Two simulated cases are presented for comparison: Case 1 utilizes normal adaptive synchronization, whereas Case 2 utilizes the Takagi-Sugeno (T-S) fuzzy model-based Lorenz systems to realize adaptive synchronization via the new adaptive scheme. The simulation results demonstrate the effectiveness and feasibility of our new adaptive strategy. (C) 2012 Elsevier Inc. All rights reserved.	en_US
dc.language.iso	en_US	en_US
dc.subject	Time-reversed system	en_US
dc.subject	P-N parameter	en_US
dc.subject	Pragmatical	en_US
dc.subject	GYC	en_US
dc.subject	Fuzzy	en_US
dc.title	Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/j.ins.2012.08.007	en_US
dc.identifier.journal	INFORMATION SCIENCES	en_US
dc.citation.volume	222	en_US
dc.citation.issue		en_US
dc.citation.spage	486	en_US
dc.citation.epage	500	en_US
dc.contributor.department	生物科技學系	zh_TW
dc.contributor.department	電控工程研究所	zh_TW
dc.contributor.department	腦科學研究中心	zh_TW
dc.contributor.department	Department of Biological Science and Technology	en_US
dc.contributor.department	Institute of Electrical and Control Engineering	en_US
dc.contributor.department	Brain Research Center	en_US
dc.identifier.wosnumber	WOS:000313774200031	-
dc.citation.woscount	7	-
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