控制理论(社会学)
计算机科学
同步(交流)
人工神经网络
控制器(灌溉)
混乱的
方案(数学)
控制(管理)
数学
人工智能
计算机网络
农学
生物
频道(广播)
数学分析
作者
Zhongyang Fei,Chaoxu Guan,Huijun Gao
出处
期刊:IEEE transactions on neural networks and learning systems
[Institute of Electrical and Electronics Engineers]
日期:2017-05-12
卷期号:29 (6): 2558-2567
被引量:155
标识
DOI:10.1109/tnnls.2017.2700321
摘要
This paper is concerned with the exponential synchronization for master-slave chaotic delayed neural network with event trigger control scheme. The model is established on a network control framework, where both external disturbance and network-induced delay are taken into consideration. The desired aim is to synchronize the master and slave systems with limited communication capacity and network bandwidth. In order to save the network resource, we adopt a hybrid event trigger approach, which not only reduces the data package sending out, but also gets rid of the Zeno phenomenon. By using an appropriate Lyapunov functional, a sufficient criterion for the stability is proposed for the error system with extended ( , , )-dissipativity performance index. Moreover, hybrid event trigger scheme and controller are codesigned for network-based delayed neural network to guarantee the exponential synchronization between the master and slave systems. The effectiveness and potential of the proposed results are demonstrated through a numerical example.
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