Robust adaptive fuzzy control scheme for nonlinear system with uncertainty
Mingjun ZHANG
Huaguang ZHANG
摘要：In this paper, a robust adaptive fuzzy control scheme for a class of nonlinear system with uncertainty is proposed. First, using prior knowledge about the plant we obtain a fuzzy model, which is called the generalized fuzzy hyperbolic model (GFHM). Secondly, for the case that the states of the system are not available an observer is designed and a robust adaptive fuzzy output feedback control scheme is developed. The overall control system guarantees that the tracking error converges to a small neighborhood of origin and that all signals involved are uniformly bounded. The main advantages of the proposed control scheme are that the human knowledge about the plant under control can be used to design the controller and only one parameter in the adaptive mechanism needs to be on-line adjusted.
机标关键词：nonlinear systemcontrol schemeadaptive fuzzyadaptive mechanismuniformly boundedhyperbolic modelprior knowledgeoutput feedback
分类号：TP3(计算技术、计算机技术)
资助基金：国家自然科学基金(60325311;60534010;60572070)the Foundation for Doctoral Special Branch by the Ministry of Education of China(20011045023)辽宁省沈阳市科研项目(1022033-1-07)
论文发表日期：2006-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 209-216 )
英文信息