Model predictive control - new tools for design and evaluation

A new version of the model predictive control toolbox for MATLAB is described. Major improvements include more flexible modeling of plant and disturbance characteristics, and support for design and simulation involving nonlinear (Simulink) models.

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Bibliographische Detailangaben
Hauptverfasser:	Bemporad, A., Ricker, N.L., Owen, J.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Control theory. Systems Exact sciences and technology Industrial control Mathematical model MATLAB Open loop systems Performance analysis Predictive control Predictive models Sampling methods State estimation Temperature control
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Beschreibung
Zusammenfassung:	A new version of the model predictive control toolbox for MATLAB is described. Major improvements include more flexible modeling of plant and disturbance characteristics, and support for design and simulation involving nonlinear (Simulink) models.
ISSN:	0743-1619 2378-5861
DOI:	10.23919/ACC.2004.1384750