Release Time:2019-03-12  Hits:

Indexed by: Conference Paper

Date of Publication: 2014-06-22

Included Journals: Scopus、EI

Volume: 644-650

Page Number: 2514-2521

Abstract: In this paper, a new fuzzy model-based adaptive approach for synchronization of chaotic systems with unknown parameters. Theoretical analysis based on Lyapunov stability theory is provided to verify its feasibility. Takagi-Sugeno (T-S) fuzzy model is employed to express the chaotic systems. Based on this model, an adaptive fuzzy controller and the parameters update law are developed. With the proposed scheme, parameters identification and synchronization of identical or nonidentical chaotic systems can be achieved simultaneously. Numerical simulations further demonstrate the effectiveness of the proposed scheme. ? (2014) Trans Tech Publications, Switzerland.