Asymptotic regulation of cascade systems with unknown control directions and nonlinear parameterization  

作　　者：Qiangde WANG Chunling WEI Yuqiang WU 

机构地区：[1]College of Electricity Information and Automation, Qufu Normal University, Rizhao Shandong 276826, China

出　　处：《控制理论与应用（英文版）》2009年第1期51-56,共6页

基　　金：supported by the National Natural Science Foundation of China (No.60774010,60574080);the research startup Foundation of Qufu Normal University

摘　　要：A robust partial-state feedback asymptotic regulating control scheme is developed for a class of cascade systems with both nonlinear uncertainties and unknown control directions. A parameter separation technique is introduced to separate the time-varying uncertainty and the unmeasurable state from nonlinear functions. Then, the Nussbaum-type gain method together with the idea of changing supply functions is adopted in the design of a smooth partial-state regulator that can ensure all the signals of the closed-loop system are globally uniformly bounded. Especially, the system state asymptotically converges to zero. The design procedure is illustrated through an example and the simulation results show that the controller is feasible and effective.A robust partial-state feedback asymptotic regulating control scheme is developed for a class of cascade systems with both nonlinear uncertainties and unknown control directions. A parameter separation technique is introduced to separate the time-varying uncertainty and the unmeasurable state from nonlinear functions. Then, the Nussbaum-type gain method together with the idea of changing supply functions is adopted in the design of a smooth partial-state regulator that can ensure all the signals of the closed-loop system are globally uniformly bounded. Especially, the system state asymptotically converges to zero. The design procedure is illustrated through an example and the simulation results show that the controller is feasible and effective.

关 键 词：Nonlinear systems Robust control Partial-state feedback Smooth regulator 

分 类 号：O231[理学—运筹学与控制论] TP273.2[理学—数学]