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A real-time framework for model-predictive control of continuous-time nonlinear systems

Author
DEHAAN, Darryl1 ; GUAY, Martin2
[1] Global Operations-Advanced Controls and Optimiza tion Division, Praxair Inc, Buffalo, NY 14151-0044, United States
[2] Department of Chemical Engineering, Queen's University, Kingston, ON K7L 3N6, Canada
Source

IEEE transactions on automatic control. 2007, Vol 52, Num 11, pp 2047-2057, 11 p ; ref : 32 ref

CODEN
IETAA9
ISSN
0018-9286
Scientific domain
Control theory, operational research
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Nonlinear model-predictive control (NMPC) real-time (RT) optimization sampled-data (SD) control
Keyword (fr)
Commande MPC Commande non linéaire Commande optimale Dynamique processus Horizon fini Modèle non linéaire Optimisation Système échantillonné Temps continu Temps réel
Keyword (en)
Model predictive control Non linear control Optimal control Process dynamics Finite horizon Non linear model Optimization Sampled system Continuous time Real time
Keyword (es)
Control modelo predicativo Control no lineal Control óptimo Dinámica proceso Horizonte finito Modelo no lineal Optimización Sistema muestreado Tiempo continuo Tiempo real
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D07 Control system synthesis

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02D Control theory. Systems / 001D02D08 Optimal control

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19240861

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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