Sufficient Conditions for Convergent Recursive Extrapolation of qLPV Scheduling Parameters Along a Prediction Horizon

Model predictive control (MPC) algorithms have long been applied to nonlinear processes. In a quasi-linear parameter varying (qLPV) setting, nonlinearities are included into bounded scheduling parameters, which are given as a function of endogenous variables; these scheduling parameters are a priori...

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Veröffentlicht in:	IEEE transactions on automatic control 2023-06, Vol.68 (6), p.3182-3193
Hauptverfasser:	Morato, Marcelo Menezes, Normey-Rico, Julio Elias, Sename, Olivier
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automatic Automatic Control Engineering Computational modeling Computer Science Convergence Engineering Sciences Estimation Extrapolation Horizon linear parameter-varying systems nonlinear predictive control Nonlinearity optimization algorithms Prediction algorithms Predictive control Process parameters Processor scheduling Real-time systems Scheduling Trajectory
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