Robust adaptive fuzzy tracking control for a class of strict-feedback nonlinear systems based on backstepping technique
Min WANG
Xiuying WANG
Bing CHEN
Shaocheng TONG
摘要：In this paper, the robust adaptive fuzzy tracking control problem is discussed for a class of perturbed strict-feedback nonlinear systems. The fuzzy logic systems in Mamdani type are used to approximate unknown nonlinear functions. A design scheme of the robust adaptive fuzzy controller is proposed by use of the backstepping technique. The proposed controller guarantees semi-global uniform ultimate boundedness of all the signals in the derived closed-loop system and achieves the good tracking performance. The possible controller singularity problem which may occur in some existing adaptive control schemes with feedback linearization techniques can be avoided. In addition, the number of the on-line adaptive parameters is not more than the order of the designed system. Finally, two simulation examples are used to demonstrate the effectiveness of the proposed control scheme.
机标关键词：nonlinear systemsuniform ultimate boundednessadaptive fuzzy controllerfuzzy tracking controlfeedback linearizationnonlinear functionsfuzzy logic systemscontrol schemes
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(60674055)the Taishan Scholar programme and the Natural Science Foundation of Shandong Province(Y2006G04)
论文发表日期：2007-01-01
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：6( 317-322 )
英文信息