A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems

Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process bas...

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Veröffentlicht in:Science China. Technological sciences 2023-02, Vol.66 (2), p.456-467
Hauptverfasser: Ren, HongRu, Ma, Hui, Li, HongYi, Lu, RenQuan
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description Focusing on one class of nonlinear systems with input saturation, the adaptive fuzzy dynamic event-triggered control problem is successfully solved. A dynamic event-triggered mechanism is adopted to save the communication burden of the system, and is integrated into the controller design process based on the backstepping technique. For handling the asymmetric input saturation, an auxiliary system with the same order as the considered system is constructed. Analysis problems caused by unknown continuous functions are efficiently tackled by applying the approximation theory of fuzzy logic systems. It is proven that all the signals of the resulting closed-loop system are bounded via Lyapunov stability analysis. Both numerical and practical simulations are presented to demonstrate the effectiveness of the theoretical results.
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subjects Adaptive control
Closed loops
Communications systems
Continuity (mathematics)
Control systems design
Disturbance observers
Engineering
Feedback control
Fuzzy control
Fuzzy logic
Fuzzy systems
Mathematical analysis
Nonlinear control
Nonlinear systems
Saturation
Stability analysis
title A disturbance observer based intelligent control for nonstrict-feedback nonlinear systems
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