Adaptive fuzzy backstepping control design for a class of pure-feedback switched nonlinear systems. (May 2015)

• Record Type: Journal Article
• Authors: Li, Yongming; Tong, Shaocheng; Li, Tieshan
• Is Part Of: Nonlinear analysis. Volume 16(2015)
• Page Start: 72
• Page End: 80
• Publication Date: 2015-05
• Subjects: Nonlinear switched systems -- Fuzzy adaptive control -- Pure-feedback systems -- Backstepping technique; Nonlinear functional analysis -- Periodicals; Analyse fonctionnelle non linéaire -- Périodiques; Nonlinear functional analysis; Periodicals; 515.7248
• DOI: 10.1016/j.nahs.2014.11.002
• Languages: English
• ISSNs: 1751-570X

Abstract

Abstract: In this paper, an adaptive fuzzy output tracking control approach is proposed for a class of single input and single output (SISO) uncertain pure-feedback switched nonlinear systems under arbitrary switchings. Fuzzy logic systems are used to identify the unknown nonlinear system. Under the framework of the backstepping control design and fuzzy adaptive control, a new adaptive fuzzy output tracking control method is developed. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB) and the tracking error remains an adjustable neighborhood of the origin. A numerical example is provided to illustrate the effectiveness of the proposed approach.