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Nonlinear Dynamics

, Volume 92, Issue 3, pp 1091–1102 | Cite as

Aperiodically intermittent control for synchronization of switched complex networks with unstable modes via matrix \(\varvec{\omega }\)-measure approach

  • Liyan Cheng
  • Xiangyong Chen
  • Jianlong Qiu
  • Jianquan Lu
  • Jinde Cao
Original Paper

Abstract

The study, by using aperiodically intermittent pinning control, is to synchronize switched delayed complex networks with unstable subsystems. Matrix \(\omega \)-measure and mode-dependent average dwell time method are used to achieve globally exponential synchronization for such system. By designing the useful switching rule and control scheme, we obtain the novel synchronization criteria, which improve the conventional results. Finally, simulation analysis demonstrates the advantages of proposed innovations.

Keywords

Globally exponential synchronization (GES) Switched complex networks Aperiodically intermittent pinning control (AIPC) \(\omega \)-Measure Mode-dependent average dwell time (MDADT) 

Notes

Acknowledgements

The contribution of all authors is equal. Thanks to Professor Fawaz Alsaadi and Doctor Xinli Shi for their help in language checking and theoretical analysis. This study was supported by the National Natural Science Foundation of China under Grant Nos. 61403179, 61273012 and 61573102, the Natural Science Foundation of Jiangsu Province of China under Grant no. BK20170019, the Key Research and Development Project of Shandong Province of China under Grant no. 2017GGX10143, the Key Research and Development Project of Linyi City of China under Grant no. 2017GGH009, the Applied Mathematics Enhancement Program of Linyi University.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of International Trade and EconomicsDongbei University of Finance and EconomicsDalianChina
  2. 2.School of Automation and Electrical Engineering, and Key Laboratory of Complex Systems and Intelligent Computing in Universities of ShandongLinyi UniversityLinyiChina
  3. 3.School of MathematicsSoutheast UniversityNanjingChina
  4. 4.School of Electrical EngineeringNantong UniversityNantongChina
  5. 5.School of Mathematical SciencesShandong Normal UniversityJi’nanChina
  6. 6.Department of Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia

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