A computationally efficient scheme for model predictive control of nonlinear hybrid systems using generalized outer approximation / Naresh N. Nandola in Industrial & engineering chemistry research, Vol. 48 N° 12 (Juin 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5767–5778 Titre : A computationally efficient scheme for model predictive control of nonlinear hybrid systems using generalized outer approximation Type de document : texte imprimé Auteurs : Naresh N. Nandola, Auteur ; Sharad Bhartiya, Auteur Année de publication : 2009 Article en page(s) : pp. 5767–5778 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Mixed integer nonlinear programs Model predictive control Nonlinear hybrid systems Résumé : This paper presents an efficient optimization algorithm suitable for online solution of mixed integer nonlinear programs resulting from the model predictive control (MPC) of nonlinear hybrid systems. The system model is based on a recently proposed multiple partially linear (MPL) modeling scheme. The algorithm, based on generalized outer approximation (GOA), uses structural information of the canonical MPL framework as well as analytical expressions for the objective function and constraints of a relatively simple primal problem as well as the master problem. Specifically, the primal problem of GOA reduces to a quadratic program when MPL models are used in MPC. Computational efficiency of the algorithm over the branch and bound strategy is demonstrated using a simulated benchmark three-spherical tank system and a hydraulic process plant. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801384y#fn1 [article] A computationally efficient scheme for model predictive control of nonlinear hybrid systems using generalized outer approximation [texte imprimé] / Naresh N. Nandola, Auteur ; Sharad Bhartiya, Auteur . - 2009 . - pp. 5767–5778. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5767–5778 Mots-clés : Mixed integer nonlinear programs Model predictive control Nonlinear hybrid systems Résumé : This paper presents an efficient optimization algorithm suitable for online solution of mixed integer nonlinear programs resulting from the model predictive control (MPC) of nonlinear hybrid systems. The system model is based on a recently proposed multiple partially linear (MPL) modeling scheme. The algorithm, based on generalized outer approximation (GOA), uses structural information of the canonical MPL framework as well as analytical expressions for the objective function and constraints of a relatively simple primal problem as well as the master problem. Specifically, the primal problem of GOA reduces to a quadratic program when MPL models are used in MPC. Computational efficiency of the algorithm over the branch and bound strategy is demonstrated using a simulated benchmark three-spherical tank system and a hydraulic process plant. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801384y#fn1

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