Adaptive Fuzzy Output Feedback Control for Nonlinear Nonstrict-Feedback Time-Delay Systems with Full State Constraints

• Published in: International journal of fuzzy systems Vol. 20; no. 6; pp. 1730 - 1744
• Main Authors: Yi, Jiale, Li, Junmin, Li, Jing
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2018; Springer Nature B.V
• Subjects: Artificial Intelligence; Closed loops; Computational Intelligence; Control systems design; Controllers; Design; Design parameters; Engineering; Feedback control; Fuzzy control; Fuzzy logic; Fuzzy sets; Liapunov functions; Management Science; Neural networks; Nonlinear control; Operations Research; Output feedback; Systems stability; Time delay systems; Tracking control; Tracking errors; Nonstrict-feedback structure; Time delay; Adaptive output feedback control; Full state constraints
• ISSN: 1562-2479; 2199-3211
• DOI: 10.1007/s40815-018-0475-6

This paper investigates the adaptive fuzzy output feedback control problem for a class of nonstrict-feedback time-delay systems subject to full state constraints. An observer is designed to estimate the unavailable systems states. By incorporating the barrier Lyapunov function and introducing a variable separation approach, an adaptive fuzzy output feedback tracking controller is systematically designed to ensure that the full state constraints are not violated and all the signals of the closed-loop systems are uniformly ultimately bounded. At the same time, the tracking errors can fluctuate around the origin within a small neighborhood by appropriate choice of the design parameters. Finally, two simulation studies are worked out to show the effectiveness of the proposed approach.