標題: Adaptive synchronization for unknown chaotic systems with fuzzy-neural network observer
作者: Wu, Bing-Fei
Ma, Li-Shan
Perng, Jau-Woei
Chin, Hung-I
Lee, Tsu-Tian
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: chaos;fuzzy-neural network (FNN);adaptive fuzzy-neural observer (AFNO);synchronization;adaptive;robust
公開日期: 2006
摘要: This investigation applies the adaptive fuzzy-neural observer (AFNO) to synchronize a class of unknown chaotic systems via scalar transmitting signal only. The proposed method can be used in synchronization if nonlinear chaotic systems can be transformed into the canonical form of Lur'e system type by the differential geometric method. In proposed approach, the receiver states can be reconstructed from one transmitted state using AFNO design. The adaptive fuzzy-niural network (INN) in AFNO is adopted to model the nonlinear term in the transmitter. Additionally, an observer is designed to estimate the other states of the master. Synchronization is achieved when all states are observed. The proposed scheme can adaptively estimated the transmitter states using AFNO, even if the transmitter changes into another chaotic system. Simulation results confirm that the proposed AFNO design is valid.
URI: http://hdl.handle.net/11536/17473
ISBN: 978-1-4244-0456-8
期刊: 2006 IEEE International Conference on Engineering of Intelligent Systems
起始頁: 199
結束頁: 204
Appears in Collections:Conferences Paper