Robust Indirect Adaptive Fuzzy Control for Nonlinear System with Uncertainty

摘要：

In this paper, a robust indirect adaptive fuzzy control algorithm based on the generalized fuzzy hyperbolic model (GFHM) for nonlinear system with uncertainties is proposed. The proposed control consists of two control terms. One is the certainty equivalent control and the other is the compensated control, which is obtained by bounded estimation in the online approximation of the uncertainty. The main advantage of the proposed control law is that the human knowledge about the plant under control is be used to design the controller and only one parameter vector in the adaptive mechanism is on-line adjusted. A simulation example is showed that the proposed controller provides good tracking performance.

关键词： Fuzzy control Nonlinear systems Generalized fuzzy hyperbolic model (GFHM) Indirect adaptive control

作者: Zhang Mingjun Shao Cheng Li Shikuan

作者单位: School of Control Science and Engineering Dalian University of Technology Dalian, Liaoning Province, Dalian Daxian Group CO., LTD Dalian,Liaoning Province, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 205-208

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）