Adaptive fuzzy impulsive synchronization of chaotic systems with random parameters

Xingpeng Zhang, Dong Li and Xiaohong Zhang

Chaos, Solitons & Fractals, 2017, vol. 104, issue C, 77-83

Abstract: Randomness is a common phenomenon in nonlinear systems. And conditions to reach synchronization are more complex and difficult when chaotic systems have random parameters. So in this paper, an adaptive scheme for synchronization of chaotic system with random parameters by using the fuzzy impulsive method and combining the properties of Wiener process and Ito differential is investigated. The main concepts of this paper are applying fuzzy method to approximate the nonlinear part of system, then using Ito differential to study the Wiener process of random parameters of chaotic system, and realizing synchronization under fuzzy impulsive method. The stability is analyzed by Lyapunov stability theorem. At the end of the paper, numerical simulation is presented to illustrate the effectiveness of the results obtained in this paper.

Keywords: Synchronization; Random parameters; Fuzzy impulsive control; Adaptive control; Lyapunov function (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:104:y:2017:i:c:p:77-83

DOI: 10.1016/j.chaos.2017.08.006

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