Nonlinear Data-Driven Control Part II: qLPV Predictive Control with Parameter Extrapolation

We present a novel data-driven Model Predictive Control (MPC) algorithm for nonlinear systems. The method is based on recent extensions of behavioural theory and Willem’s Fundamental Lemma for nonlinear systems by the means of adequate Input–Output (IO) quasi-Linear Parameter-Varying (qLPV) embeddin...

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Veröffentlicht in:	Journal of control, automation & electrical systems automation & electrical systems, 2024-10, Vol.35 (5), p.802-814
Hauptverfasser:	Morato, Marcelo Menezes, Normey-Rico, Julio Elias, Sename, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automatic Closed loops Control Control and Systems Theory Control systems Electrical Engineering Engineering Engineering Sciences Extrapolation Mechatronics Nonlinear control Nonlinear systems Parameters Predictive control Robotics Robotics and Automation Trajectory measurement
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