TITLE:
Fuzzy Adaptive Tracking Control of Uncertain Strict-Feedback Nonlinear Systems with Disturbances Based on Generalized Fuzzy Hyperbolic Model
AUTHORS:
Jingxuan Shi, Zhongjun Yang
KEYWORDS:
Disturbances, Uncertain Strict-Feedback Nonlinear Systems, Adaptive Control, Generalized Fuzzy Hyperbolic Model, Dynamic Surface Control
JOURNAL NAME:
Journal of Computer and Communications,
Vol.8 No.10,
October
28,
2020
ABSTRACT: In this paper, a fuzzy adaptive tracking control for uncertain strict-feedback nonlinear systems with unknown bounded disturbances is proposed. The generalized fuzzy hyperbolic model (GFHM) with better approximation performance is used to approximate the unknown nonlinear function in the system. The dynamic surface control (DSC) is used to design the controller, which not only avoids the “explosion of complexity” problem in the process of repeated derivation, but also makes the control system simpler in structure and lower in computational cost because only one adaptive law is designed in the controller design process. Through the Lyapunov stability analysis, all signals in the closed loop system designed in this paper are semi-globally uniformly ultimately bounded (SGUUB). Finally, the effectiveness of the method is verified by a simulation example.