期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 28, 期 12, 页码 3432-3441出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TFUZZ.2019.2952832
关键词
Nonlinear systems; Delays; Fuzzy logic; Adaptive systems; Time-varying systems; Fuzzy control; Backstepping; Adaptive fuzzy control; backstepping; full state constraints; strict-feedback nonlinear systems; time-varying input delay
资金
- 111 Project [B16014]
- National Natural Science Foundation of China [61803122, 61873311]
- National Postdoctoral Program for Innovative Talents [BX201700067]
- China Postdoctoral Science Foundation [2018M630359]
- Heilongjiang Province Science Foundation for Youths [QC2018077]
- Fundamental Research Funds for the CentralUniversities [HIT.NSRIF.2019035]
This article investigates the adaptive fuzzy tracking control problem for a class of strict-feedback nonlinear systems with time-varying input delay and full state constraints. By using state vector transformation and barrier Lyapunov function techniques, the effect of time-varying input delay and full state constraints are compensated. The unknown nonlinear functions are approximated by utilizing fuzzy logic systems, and then a novel adaptive fuzzy backstepping control strategy is proposed to guarantee that the closed-loop nonlinear system is semiglobally ultimately uniformly bounded. Finally, two simulation examples of an inverted pendulum system and three-degrees-of-freedom helicopter nonlinear system are studied to verify the effectiveness of the proposed control strategy.
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