Adaptive fuzzy tracking control for switched uncertain strict-feedback nonlinear systems. Issue 2 (January 2018)

• Record Type: Journal Article
• Authors: Yang, Zhongjun; Zhang, Huaguang; Cui, Yang
• Is Part Of: Journal of the Franklin Institute. Volume 355:Issue 2(2018)
• Page Start: 714
• Page End: 727
• Publication Date: 2018-01
• Subjects: Science -- Periodicals; Technology -- Periodicals; Patents -- United States -- Periodicals; 505
• DOI: 10.1016/j.jfranklin.2017.11.038
• Languages: English
• ISSNs: 0016-0032

Abstract

Highlights: Adaptive tracking control for switched strict-feedback nonlinear systems is proposed. The generalized fuzzy hyperbolic model is used to approximate nonlinear functions. The designed controller has fewer design parameters comparing with existing methods. Abstract: This paper concerns an adaptive fuzzy tracking control problem for a class of switched uncertain nonlinear systems in strict-feedback form via the modified backstepping technique. The unknown nonlinear functions are approximated by the generalized fuzzy hyperbolic model (GFHM). It is shown that if the designed parameters in the controller and adaptive laws are appropriately selected, then all closed-loop signals are bounded and the stability of the system can be kept under average dwell time methods. In the end, simulation studies are presented to illustrate the effectiveness of the proposed method.