Identify fully uncertain parameters and design controllers based on synchronization

Fengyun Sun, Yi Zhao and Tianshou Zhou

Chaos, Solitons & Fractals, 2007, vol. 34, issue 5, 1677-1682

Abstract: For a chaotic system with specified structure, all unknown model parameters can be simultaneously identified by a simple combination of adaptive scheme and linear feedback. Furthermore, based on the Lyapunov stability theory, a sufficient condition for chaos synchronization is derived analytically, which guarantees that the system with fully uncertain parameters and the controlled system achieve chaos synchronization. Numerical simulations are presented for demonstration.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:34:y:2007:i:5:p:1677-1682

DOI: 10.1016/j.chaos.2006.04.062

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