DocumentCode
3108231
Title
A Real-time Framework for Model Predictive Control of Continuous-Time Nonlinear Systems
Author
DeHaan, Darryl ; Guay, Martin
Author_Institution
Department of Chemical Engineering, Queen´´s University, Kingston, Canada, K7L 3N6
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
957
Lastpage
962
Abstract
A new formulation of continuous-time nonlinear model predictive control (NMPC) is developed which accounts for dynamics associated with minimization of the optimal control problem. In doing so, it is shown that the stability of NMPC can be maintained for fast processes in which the computation time is significant with respect to the process dynamics. Our framework generalizes recent results for piecewise constant NMPC of continuous-time processes.
Keywords
nonlinear model predictive control; optimal control; piecewise constant control; real-time optimization; Current control; Delay; Nonlinear systems; Open loop systems; Optimal control; Predictive control; Predictive models; Real time systems; Sampling methods; Stability; nonlinear model predictive control; optimal control; piecewise constant control; real-time optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1582281
Filename
1582281
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