Cluster synchronization in nonlinear complex networks under sliding mode control

This paper investigates the cluster synchronization for network of nonlinear systems via differential mean value theorem method and sliding mode control strategy. Because of the existence of the nonlinear dynamics, the differential mean value theorem method is used to transform the nonlinear error c...

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Bibliographic Details
Published inNonlinear dynamics Vol. 83; no. 1-2; pp. 739 - 749
Main Authors Hou, Huazhou, Zhang, Qingling, Zheng, Meng
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.01.2016
Springer Nature B.V
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Summary:This paper investigates the cluster synchronization for network of nonlinear systems via differential mean value theorem method and sliding mode control strategy. Because of the existence of the nonlinear dynamics, the differential mean value theorem method is used to transform the nonlinear error complex network system into a linear parameter-varying system. Since the robustness to the uncertainties of the sliding mode, we can deal with the linear parameter-varying system which contains the time-varying mismatched uncertainties by applying the sliding mode control strategy through the equivalent transformation. In addition, appropriate linear matrix inequality stability condition by the Lyapunov method is derived such that each subsystem in the new sliding mode is completely invariant to both matched and mismatched uncertainties. Finally, simulation example is shown to illustrate the effectiveness of the proposed method.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0924-090X
1573-269X
DOI:10.1007/s11071-015-2363-z