ADAPTIVE CONTROL FOR A CLASS OF NONLINEAR FUZZY CONTROL SYSTEMS

摘要：

This paper studies the adaptive control for a class of nonlinear fuzzy systems. The method of Takagi-Sugeno (T-S) fuzzy systems represent global fuzzy nonlinear systems by connecting local systems. Each local system is presented for a class of strict-feedback nonlinear system. The feasibility of neural network approximation of unknown system functions is guaranteed over practical compact sets. By using adaptive control, the output of global systems is proven to converge to a small neighborhood of the origin.

关键词： Fuzzy control Adaptive control Neural Networks Stability

作者: Jiali Yu Zhang Yi

作者单位: Computational Intelligence Laboratory School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054,P.R.China.

会议类型: 国际会议

会议名称: 2008高等智能国际会议(2008 International Conference on Advanced Intelligence)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）