Distributed wireless networked control for nonlinear system based on standard neural network model

被引：0
作者：
Ren, Wen [1 ]
Xu, Bu-Gong [1 ]
机构：
[1] College of Automation Science and Engineering, South China University of Technology, Guangzhou
来源：
Kongzhi yu Juece/Control and Decision | 2015年 / 30卷 / 04期
关键词：
Distributed control; Nonlinear system; Standard neural network model; Wireless control network;
D O I：
10.13195/j.kzyjc.2013.1598
中图分类号：
学科分类号：
摘要：
A full distributed control method for a class of nonlinear systems modeling by standard neural network models(SNNM) is proposed based on a wireless control network(WCN). The uncertainties of wireless communication links in WCN is modeled described by confidence factors. The stability analysis of the wireless networked control system(WNCS) is transferred into a convex optimization problem with linear matrix inequality(LMI) constraints via the Lyapunov theorem and Lur'e system approach. By solving the convex optimization problem using CVX, the configuration parameters of WCN for guaranteeing global asymptotic stability of closed-loop system are obtained. Finally, the simulation results show the correctness and effectiveness of the proposed control strategy. ©, 2015, Northeast University. All right reserved.
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页码：691 / 697
页数：6
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