Controlling uncertain Genesio–Tesi chaotic system using adaptive dynamic surface and nonlinear feedback

Shigen Gao, Yubing Wang, Hairong Dong, Bin Ning and Hongwei Wang

Chaos, Solitons & Fractals, 2017, vol. 105, issue C, 180-188

Abstract: An adaptive dynamic surface control method using nonlinear feedback is proposed for controlling the uncertain Genesio-Tesi chaotic system. The feature of the nonlinear feedback technique lies in that the feedback gains self-adjust under different amplitudes of system states. Based on the dynamic surface control technique, the complexity explosion problem existing in the backstepping-based chaotic controllers is circumvented. Moreover, the closed-loop stability is guaranteed with rigorous mathematical proof using Lyapunov stability theorem. Comparative results are given to verify the effectiveness and advantage of the proposed method with comparison to the existing linear feedback control.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:105:y:2017:i:c:p:180-188

DOI: 10.1016/j.chaos.2017.10.030

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