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

Publication Type:
Journal Article
Citation:
Information Sciences, 2013, 222 pp. 486 - 500
Issue Date:
2013-02-10
Full metadata record
Files in This Item:
Filename Description Size
1-s2.0-S0020025512005609-main.pdfPublished Version2.29 MB
Adobe PDF
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. © 2012 Elsevier Inc. All rights reserved.
Please use this identifier to cite or link to this item: