Title: Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy
Authors: Li, Shih-Yu
Yang, Cheng-Hsiung
Chen, Shi-An
Ko, Li-Wei
Lin, Chin-Teng
生物科技學系
電控工程研究所
腦科學研究中心
Department of Biological Science and Technology
Institute of Electrical and Control Engineering
Brain Research Center
Keywords: Time-reversed system;P-N parameter;Pragmatical;GYC;Fuzzy
Issue Date: 10-Feb-2013
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.
URI: http://dx.doi.org/10.1016/j.ins.2012.08.007
http://hdl.handle.net/11536/21016
ISSN: 0020-0255
DOI: 10.1016/j.ins.2012.08.007
Journal: INFORMATION SCIENCES
Volume: 222
Issue: 
Begin Page: 486
End Page: 500
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