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A new real-time method for nonlinear model predictive control. (English) Zbl 1220.93039

Findeisen, Rolf (ed.) et al., Assessment and future directions of nonlinear model predictive control. Selected papers based on the presentations at the workshop (NMPC05), Freudenstadt-Lauterbad, Germany, August 26–30, 2005. Berlin: Springer (ISBN 978-3-540-72698-2/pbk). Lecture Notes in Control and Information Sciences 358, 537-550 (2007).
Summary: A formulation of continuous-time nonlinear MPC is proposed in which input trajectories are described by general time-varying parameterizations. The approach entails a limiting case of suboptimal single-shooting, in which the dynamics of the associated NLP are allowed to evolve within the same timescale as the process dynamics, resulting in a unique type of continuous-time dynamic state feedback which is proven to preserve stability and feasibility.
For the entire collection see [Zbl 1116.93009].

MSC:

93C10 Nonlinear systems in control theory
93D15 Stabilization of systems by feedback
93B40 Computational methods in systems theory (MSC2010)

Software:

DASPK 3.0; ODESSA
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