Adaptive Fixed-Time Performance Tracking Control for Unknown Nonlinear Pure-Feedback Systems Subject to Full-State Constraints and Actuator Faults

This paper investigates the fixed-time fuzzy adaptive tracking control method based on Barrier Lyapunov Functions (BLFs) for nonlinear pure-feedback systems with full-state constraints and actuator faults. The Mean-Value Theorem (MVT) is used to transform the pure-feedback systems (PFSs) with non-af...

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Veröffentlicht in:	IEEE access 2024, Vol.12, p.137121-137131
Hauptverfasser:	Wu, Jinyuan, Shen, Zhifang, You, Guodong, Su, Jietian, Li, Xingyun, Zhang, Hailong, Zhang, Chuanlei
Format:	Artikel
Sprache:	eng
Schlagworte:	Actuator fault Actuators Adaptive control Adaptive systems Backstepping barrier Lyapunov functions Closed loops Constraints Control methods Convergence Differential calculus Error analysis Faults Feedback communications Feedback control fixed-time control Fuzzy control Fuzzy logic Fuzzy systems Liapunov functions Lyapunov methods Nonlinear control Nonlinear control systems nonlinear pure-feedback system Nonlinear systems Tracking control Tracking errors Trajectory tracking Transforms
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