General H∞ synchronization of chaotic systems via orthogonal function neural network

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Abstract

The orthogonal function neural network is utilized to realize the general H∞ synchronization of chaotic systems with different structures. The driving system and the reference system are both disturbed by the external perturbation. Continuous controller is utilized to realize the general H∞ synchronization of chaotic systems according to nonlinear H∞ control theory. Lorenz system and Rössler system are utilized to simulate to illustrate the performance of the proposed method. The simulation results can show the validity of the proposed method. © Springer-Verlag Berlin Heidelberg 2007.

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Zhang, W., & Wu, X. (2007). General H∞ synchronization of chaotic systems via orthogonal function neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4681 LNCS, pp. 494–501). https://doi.org/10.1007/978-3-540-74171-8_49

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