Synchronization of Switched Neural Networks With Communication Delays via the Event-Triggered Control

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Abstract
This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results.
Funding Information
  • Australian Research Council Discovery Scheme (140100544)
  • Guangdong Innovative and Entrepreneurial Research Team Program (2014ZT05G304)
  • Program for Changjiang Scholars and Innovative Research Team through the University of China (IRT1245)
  • National Priorities Research Program through the Qatar National Research Fund (a member of Qatar Foundation) (7-1482-1-278)
  • Research Grants Council of Hong Kong within The Hong Kong University through the General Research Fund (106140120, 17205414)
  • National Natural Science Foundation of China (61125303, 61403152)
  • Huawei Innovation Research Program

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