Robust adaptive fuzzy output control for nonlinear uncertain systems

被引：0
|
作者：
Zhang, Mingjun [1 ]
Zhang, Huaguang [1 ]
Liu, Derong [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
来源：
2005 44th IEEE Conference on Decision and Control & European Control Conference, Vols 1-8 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a robust adaptive fuzzy output control scheme for a class of nonlinear systems with uncertainty is proposed. The controller design is based on a novel fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM) and which does not need the availability of state variables. By designing an observer to estimate the states, the robust adaptive fuzzy output feedback control scheme is realized. Based on the Lyapunov stability theorem, the control system can guarantee that the tracking error converges to a small neighborhood of the origin. Simulation results confirm that the present control algorithms are feasible for practical applications.
引用
收藏
页码：7846 / 7851
页数：6
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