Type-2 Fuzzy Sliding Mode Synchronization

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Author(s): T. C. Lin (Feng Chia University, Taiwan), Ming-Che Chen (Feng-Chia University, Taiwan)and M. Roopaei (Islamic Azad University, Iran)
Copyright: 2011
Pages: 23
Source title: Chaos Synchronization and Cryptography for Secure Communications: Applications for Encryption
Source Author(s)/Editor(s): Santo Banerjee (Politecnico di Torino, Italy)
DOI: 10.4018/978-1-61520-737-4.ch014

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

This chapter presents an adaptive interval type-2 fuzzy neural network (FNN) controller to synchronize chaotic systems with training data corrupted by noise or rule uncertainties involving external disturbances. Adaptive interval type-2 FNN control scheme and sliding mode approach are incorporated to deal with the synchronization of non-identical chaotic systems. In the meantime, based on the adaptive fuzzy sliding mode control, the Laypunov stability theorem has been used to testify the asymptotic stability of the chaotic systems. The chattering phenomena in the control efforts can be reduced and the stability analysis of the proposed control scheme will be guaranteed in the sense that all the states and signals are uniformly bounded and the external disturbance on the synchronization error can be attenuated. The simulation example is included to confirm validity and performance of the advocated design methodology.

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