標題: | Fuzzy adaptive synchronization of time-reversed chaotic systems via a new adaptive control strategy |
作者: | 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 |
關鍵字: | Time-reversed system;P-N parameter;Pragmatical;GYC;Fuzzy |
公開日期: | 10-二月-2013 |
摘要: | 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 |
期刊: | INFORMATION SCIENCES |
Volume: | 222 |
Issue: | |
起始頁: | 486 |
結束頁: | 500 |
顯示於類別: | 期刊論文 |