Application of interior-point methods to model predictive control
- Author
- RAO, C. V1 ; WRIGHT, S. J2 ; RAWLINGS, J. B1
[1] Department of Chemical Engineering, University of Wisconsin, Madison, Wisconsin, United States
[2] Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, Illinois, United States - Source
Journal of optimization theory and applications. 1998, Vol 99, Num 3, pp 723-757 ; ref : 29 ref
- CODEN
- JOTABN
- ISSN
- 0022-3239
- Scientific domain
- Control theory, operational research; Computer science
- Publisher
- Springer, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Commande optimale Commande prédictive Equation Riccati Evaporateur Horizon infini Méthode point intérieur Polymère Programmation quadratique
- Keyword (en)
- Optimal control Predictive control Riccati equation Evaporator Infinite horizon Interior point method Polymer Quadratic programming
- Keyword (es)
- Control óptimo Control predictiva Ecuación Riccati Evaporador Horizonte infinito Método punto interior Polímero Programación cuadrática
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D08 Optimal control
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D07 Chemical engineering / 001D07S Heat exchangers and evaporators
- Discipline
- Chemical engineering Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 1666282
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1023/A:1021711402723 
https://dx.doi.org/10.1023/A:1021711402723
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