LMI-based H∞ Synthesis for a Lurie-type unified model via wireless neuron control network
In this paper,the H∞ Synthesis problem is considered for a class of Lurie unified model termed delayed standard neural network model(DSNNM)via a wireless neural control network(WNCN).We assume that all neuron nodes in WNCN which have limited energy,storage space and computing ability can be regarded as a sub-controller,then the whole WNCN is characterized by mesh-like structure with partially connected neurons distributed over a wide geographical area,which can be considered as a fully distributed nonlinear output feedback dynamic controller.The WNCN is designed to guarantee the stability of the whole closed-loop system with a H∞ disturbance attenuation index based on the linear-matrix-inequality(LMI)approach.A numerical example is given to illustrate the correctness and effectiveness of the theoretical results.
Distributed Control Wireless Neuron Control Network H∞ Synthesis Lurie System
REN Wen XU Bugong
College of Control Science and Engineering,South China University of Technology,Guangzhou 510640,P.R.China
国际会议
The 33th Chinese Control Conference第33届中国控制会议
南京
英文
5721-5726
2014-07-28（万方平台首次上网日期，不代表论文的发表时间）