Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 52, Issue 1, Pages 205-213Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2020.2996635
Keywords
Fuzzy logic; Adaptive systems; Backstepping; Fuzzy control; Nonlinear dynamical systems; Suspensions (mechanical systems); Adaptive fuzzy control; backstepping; fuzzy logic system (FLS); stochastic nonlinear systems
Funding
- Scientific and Technological Innovation Leaders in Central Plains [194200510012]
- Science and Technology Innovative Teams in University of Henan Province [18IRTSTHN011]
- Key Scientific Research Projects of Universities in Henan Province [19A413007, 20A120008]
- Scientific and Technological Project of Henan Province [202102310200]
- National Thirteen-Five Equipment Pre-Research Foundation of China [61402100203]
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This article investigates the problem of adaptive fuzzy control for stochastic high-order nonlinear systems with full-state constraints of the strict-feedback structure. A novel control strategy is proposed to solve this problem effectively.
In this article, the problem of adaptive fuzzy control for stochastic high-order nonlinear systems with full-state constraints of the strict-feedback structure was investigated. The unknown nonlinear functions are approximated by using fuzzy logic systems (FLSs) at each step. By introducing the barrier Lyapunov functional candidate, a novel adaptive fuzzy backstepping control strategy is proposed to solve the control problem of stochastic nonlinear systems with full-state constraints. Finally, a numerical simulation example is given to show the effectiveness of the proposed control strategy.
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