Titlebook: Assessment and Future Directions of Nonlinear Model Predictive Control; Rolf Findeisen,Frank Allg?wer,Lorenz T. Biegler Book 2007 Springer

大方一點(diǎn)

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thalamus

Numerical Methods for Efficient and Fast Nonlinear Model Predictive Controlear model predictive control, of large di.erential algebraic equations (DAE) systems arising e.g. from a MoL discretization of instationary PDE. Through a combination of a direct multiple shooting approach and an initial value embedding, a so-called “real-time iteration” approach has been developed

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Interstellar

Towards the Design of Parametric Model Predictive Controllers for Non-linear Constrained Systemsof linear systems. In this work we attempt to exploit these benefits and further extend the theoretical contributions to multi-parametric Model Predictive Control (mp-MPC) for non-linear systems with state and input constraints. The aim is to provide an insight and understanding of multi-parametric

拖債

沒有希望

抗生素

A Nonlinear Model Predictive Control Framework as Free Software: Outlook and Progress Reportairly large number of successful industrial applications. However, many small and medium enterprises have not embraced MPC, even though their processes may potentially benefit from this control technology. We tackle one aspect of this issue with the development of a nonlinear model predictive contro

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nocturia