Observer-based model-free adaptive sliding mode predictive control

This paper proposes a new observer-based model-free adaptive sliding mode predictive control method (MFASPC) for discrete-time nonlinear systems. This scheme first equates the discrete-time nonlinear system to a linear form using a data-driven compact form dynamic linearization (CFDL) technique, est...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Ren, Bing, Bao, Guangqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models Adaptive control Adaptive observer Algorithms Closed loops Computer simulation Constraint modelling Control algorithms Control methods Control systems Control systems design Control theory Data models data-driven Discrete time systems Feedback control Heuristic algorithms Liapunov functions model free Nonlinear systems Optimal control Optimization Predictive control Predictive models Robustness (mathematics) rolling optimization Sliding mode control sliding mode predictive control Stability analysis Tracking control
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