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Mixed H∞/Passive Exponential Synchronization for Delayed Memristive Neural Networks with Switching Event-Triggered Control

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Abstract

This paper is devoted to event-triggered synchronization of delayed memristive neural networks with H∞ and passivity performance. The aim is to guarantee the exponential synchronization and mixed H∞ and passivity control for memristive neural networks by using event-triggered control. Firstly, a switching system is constructed under the event-triggered control strategy. Then, by adopting a piece-wise Lyapunov functional, a sufficient condition is established for the exponential synchronization and mixed H∞ and passivity performance. Moreover, an event-triggered controller design scheme is proposed using matrix decoupling method. Finally, the effectiveness of the designed controller is exemplified by a numerical example.

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Authors and Affiliations

  1. Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, 200092, China

    Wenhuang Wu

  2. Department of Control Science and Engineering, Tongji University, Shanghai, 201804, China

    Lulu Guo & Hong Chen

Authors
  1. Wenhuang Wu
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  2. Lulu Guo
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  3. Hong Chen
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Corresponding author

Correspondence to Lulu Guo.

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The authors declare no conflict of interest.

Additional information

This research was supported in part by the National Natural Science Foundation of China under Grant No. 62203334, Shanghai Rising-Star Program under Grant No. 22YF1451300, and the Fundamental Research Funds for the Central Universities.

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Wu, W., Guo, L. & Chen, H. Mixed H∞/Passive Exponential Synchronization for Delayed Memristive Neural Networks with Switching Event-Triggered Control. J Syst Sci Complex 37, 294–317 (2024). https://doi.org/10.1007/s11424-024-3435-2

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  • DOI: https://doi.org/10.1007/s11424-024-3435-2

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