Parameters tracking identification based on finite-time synchronization for multi-links complex network via periodically switch control

Hui Zhao, Lixiang Li, Jinghua Xiao, Yixian Yang and Mingwen Zheng

Chaos, Solitons & Fractals, 2017, vol. 104, issue C, 268-281

Abstract: In this paper, a class of periodically switch control method is proposed to achieve finite-time parameters tracking identification and synchronization for multi-link complex networks. This periodically switch control is an optimal control, two convertible control intensities are given in a fixed period instead of continuous high control intensity. Meanwhile, we give an effective analysis for complex network model with multiple constant time-delays and time-varying delays, we overcome these difficulties of time-delays and unknown parameters. The parameters estimation, topological identification are achieved based on parameters tracking identification of drive-response networks. Meanwhile, the corresponding identification and synchronization criteria are obtained based on Lyapunov function, linear matrix inequality (LMI) and finite-time stability theory. Finally, numerical simulations are given to verify the effectiveness of our proposed method.

Keywords: Multi-links complex network; Finite-time synchronization; Parameters identification; Periodically switch control (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:104:y:2017:i:c:p:268-281

DOI: 10.1016/j.chaos.2017.08.024

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