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Nonlinear predictive reference governor for constrained control systems


A. Bemporad, E. Mosca

IEEE Conference on Decision and Control, New Orleans, Lousiana, U.S.A., pp. 1205-1210

This paper presents a new methodology for solving control problems where hard constraints on the state and/or the inputs of the system are present. This is achieved by adding to the control architecture a command governor which prefilters the reference to be tracked, taking into account the current value of the state and aiming at optimizing a tracking performance index. The overall system is proved to be asymptotically stable, and feasibility is ensured by a weak condition on the initial state. linear loops, a complete solution is developed for the latter. The resulting on-line computational burden turns out to be moderate and the related operations executable with current low-priced computing hardware.

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% Autogenerated BibTeX entry
@InProceedings { BemMos:1995:IFA_416,
    author={A. Bemporad and E. Mosca},
    title={{Nonlinear predictive reference governor for constrained
	  control systems}},
    booktitle={IEEE Conference on Decision and Control},
    address={New Orleans, Lousiana, U.S.A.},
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