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

被引：21

作者：

Li, Shih-Yu ^{[1
,2
]}

Yang, Cheng-Hsiung ^{[3
]}

Chen, Shi-An ^{[1
,2
]}

Ko, Li-Wei ^{[1
,2
]}

Lin, Chin-Teng ^{[2
,4
]}

机构：

[1] Natl Chiao Tung Univ, Dept Biol Sci & Technol, Hsinchu, Taiwan

[2] Natl Chiao Tung Univ, Brain Res Ctr, Hsinchu, Taiwan

[3] Natl Taiwan Univ Sci & Technol, Grad Inst Automat & Control, Taipei, Taiwan

[4] Natl Chiao Tung Univ, Inst Elect Control Engn, Hsinchu, Taiwan

来源：

INFORMATION SCIENCES | 2013年 / 222卷

关键词：

Time-reversed system; P-N parameter; Pragmatical; GYC; Fuzzy; OUTPUT-FEEDBACK CONTROL; CONTROL DIRECTION; NEURAL-NETWORKS; CONTROL DESIGN; DELAY SYSTEMS; LORENZ SYSTEM; STABILITY; STABILIZATION; UNCERTAINTY; VARIABLES;

D O I：

10.1016/j.ins.2012.08.007

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：486 / 500

页数：15

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