Delay-fractioning-dependent Robust Stabilization of Nonlinear Networked Control Systems
A Delay-fractioning-dependent method is proposed to investigate the stability and stabilization for nonlinear networked control systems (NNCSs), which are presented in the form of T-S fuzzy model with time-varying input delay. Different from the existing method in dealing with the time-varying delay, the whole variation interval of the delay is divided into two subintervals with equal length. Respecting for the delay belonging to different subintervals, new criteria on stability analysis of the NNCSs are obtained by checking the variation of the derivative of the Lyapunov functional in the two subintervals. Then, criteria for the stability of the NNCSs are obtained by using the convexity properties of the matrix inequality and some other new analysis techniques, which are shown in terms of nonlinear matrix inequalities and can be solved by using a cone complementarity liberalization method. Numerical examples show that the proposed method can reduce the conservativeness greatly.
Nonlinear Networked Control Systems Delay-Fractioning-Dependent Lyapunov functional
Engang Tian Dong Yue Chen Peng
School of Electrical and Automation engineering, Nanjing Normal University, Nanjing, 210042, China Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan,
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
3771-3776
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）