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- W4292971129 abstract "This article investigates the problem of adaptive fuzzy fixed-time control for a class of nonlinear systems subject to time-varying full-state constraints and actuator hysteresis. The fuzzy logic systems (FLSs) are employed to approximate the unknown nonlinear dynamics. A tan-type nonlinear mapping (NM) approach is used to solve the control problem of nonlinear systems with full-state constraints. The actuator hysteresis nonlinearities are expressed by differential equations with unknown parameters and combining the adaptive backstepping control technique with the fixed-time stability theory, an adaptive fuzzy fixed-time control method is presented. The proposed control scheme can guarantee the boundedness of all signals in the closed-loop system without violating the state constraints, and the output can accurately track the desired signals in a fixed time. Finally, the feasibility of the presented algorithm is verified by simulation results." @default.
- W4292971129 created "2022-08-24" @default.
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- W4292971129 date "2023-04-01" @default.
- W4292971129 modified "2023-10-17" @default.
- W4292971129 title "Adaptive Fuzzy Fixed-Time Tracking Control for Nonlinear Systems With Time-Varying Full-State Constraints and Actuator Hysteresis" @default.
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- W4292971129 doi "https://doi.org/10.1109/tfuzz.2022.3200457" @default.
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