期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 28, 期 10, 页码 2334-2343出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2016.2580609
关键词
Event-triggered control; switched neural network; synchronization
类别
资金
- 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 [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
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.
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