In order to overcome data-quantization, networked-induced delay, network packet dropouts and wrong sequences in the nonlinear networked control system, a novel nonlinear networked control system model is built by the T-S fuzzy method. Two time-varying quantizers are added in the model. The key analysis steps in the method are to construct an improved interval-delay-dependent Lyapunov functional and to introduce the free-weighting matrix. By making use of the parallel distributed compensation technology and the convexity of the matrix function, the improved criteria of the stabilization and stability are obtained. Simulation experiments show that the parameters of the controllers and quantizers satisfying a certain performance can be obtained by solving a set of LMIs. The application of the nonlinear mass-spring system is provided to show that the proposed method is effective.
＜正＞This paper presents a new approach to the problems of analysis and synthesis for nonlinear networked contro...
Hongyan Chu~(1,2),Shumin Fei~2,Chunmei Xia~1,Junyong Zhai~2 1.School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China 2.College of Automation,South and East University,Nanjing 210096,China
