Robust Fuzzy Tracking Control for Nonlinear Networked Control Systems with Integral Quadratic Constraints  

作　　者：Zhi-Sheng Chen Yong He Min Wu 

机构地区：[1]School of Information Science and Engineering, Central South University, Changsha 410083, PRC [2]School of Energy and Powcr Engineering, Changsha University of Science and Technology, Changsha 410114, PRC

出　　处：《International Journal of Automation and computing》2010年第4期492-499,共8页国际自动化与计算杂志（英文版）

基　　金：supported by National Natural Science Foundation of China (No. 60574014, No. 60425310);Doctor Subject Foundation of China (No. 200805330004);Program for New Century Excellent Talents in University (No. NCET-06-0679);Natural Science Foundation of Hunan Province of China (No. 08JJ1010);Science Foundation of Education Department of Hunan Province (No. 08C106)

摘　　要：This paper investigates the robust tracking control problcm for a class of nonlinear networked control systems （NCSs） using the Takagi-Sugeno （T-S） fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints （IQCs） are satisfied while both time-varying network- induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities （LMIs） and parallel distributed compensation （PDC）. Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.This paper investigates the robust tracking control problcm for a class of nonlinear networked control systems （NCSs） using the Takagi-Sugeno （T-S） fuzzy model approach. Based on a time-varying delay system transformed from the NCSs, an augmented Lyapunov function containing more useful information is constructed. A less conservative sufficient condition is established such that the closed-loop systems stability and time-domain integral quadratic constraints （IQCs） are satisfied while both time-varying network- induced delays and packet losses are taken into account. The fuzzy tracking controllers design scheme is derived in terms of linear matrix inequalities （LMIs） and parallel distributed compensation （PDC）. Furthermore, robust stabilization criterion for nonlinear NCSs is given as an extension of the tracking control result. Finally, numerical simulations are provided to illustrate the effectiveness and merits of the proposed method.

关 键 词：Nonlinear networked control system fuzzy model robust tracking integral quadratic constraint linear matrix inequality. 

分 类 号：TP271.71[自动化与计算机技术—检测技术与自动化装置] TP273[自动化与计算机技术—控制科学与工程]