4.7 Article

Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems

期刊

FUZZY SETS AND SYSTEMS
卷 164, 期 1, 页码 25-44

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.fss.2010.09.002

关键词

Adaptive fuzzy control; Nonlinear MIMO systems; State observer; Nussbaum-gain technique

资金

  1. National Natural Science Foundation of China [61074014, 60874056]
  2. China Postdoctoral Science Foundation [200902241]
  3. Foundation of Educational Department of Liaoning Province [L2010181, 2009S054]
  4. Natural Science Foundation of Liaoning Province [20102095]

向作者/读者索取更多资源

This paper addresses the adaptive fuzzy tracking control problem for a class of uncertain nonlinear MIMO systems with the external disturbances. The adaptive fuzzy controllers are designed under the constraint that only system output is available for measurement. Then, it is needed to design a state observer to estimate the unmeasured states. In the observer design procedure, two prominent advantages are that it does not require the sign of the control gain coefficient to be known and only two parameters need to be adjusted on-line for each subsystem. By using Lyapunov analysis method, it is proven that all the signals in the closed-loop system are guaranteed to be bounded and the system outputs track the reference signals to a bounded compact set. The feasibility of the proposed approach is validated by using two simulation examples. (C) 2010 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据