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A Real-time Framework for Model Predictive Control of Continuous-Time Nonlinear Systems

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2 Author(s)
DeHaan, D. ; Department of Chemical Engineering, Queen''s University, Kingston, Canada, K7L 3N6 ; Guay, M.

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.

Published in:

Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on

Date of Conference:

12-15 Dec. 2005