Adaptive finite‐time consensus tracking control for nonlinear multiagent systems in nonstrict feedback form with full‐state constraints. (1st April 2021)

• Record Type: Journal Article
• Authors: Liu, Dan; Zhao, Lin
• Other Names: Benosman Mouhacine guestEditor.; Krstić Miroslav guestEditor.; Guay Martin guestEditor.; Teel Andrew guestEditor.
• Is Part Of: International journal of adaptive control and signal processing. Volume 35:Number 7(2021)
• Page Start: 1417
• Page End: 1436
• Publication Date: 2021-04-01
• Subjects: adaptive fuzzy control -- command filtered backstepping -- finite‐time convergence -- full‐state constraints -- nonstrict feedback nonlinear multiagent systems; Adaptive control systems -- Periodicals; Adaptive signal processing -- Periodicals; 629.836
• DOI: 10.1002/acs.3250
• Languages: English
• ISSNs: 0890-6327

Abstract

Summary: In this article, the fuzzy adaptive finite‐time consensus tracking control problem for nonstrict feedback nonlinear multiagent systems with full‐state constraints is studied. The finite‐time control based on command filtered backstepping is proposed to guarantee the finite‐time convergence and eliminate the explosion of complexity problem caused by backstepping process, and the errors in the filtering process are compensated by using error compensation mechanism. Furthermore, based on the fuzzy logic systems, the uncertain nonlinear dynamics are approximated and the problem of state variables in nonstrict feedback form is solved by using the property of basis functions. The barrier Lyapunov functions are introduced to guarantee that all system states and compensated tracking error signals are constrained in the designed regions. A simulation example is given to verify the superiority of the proposed algorithm.