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Nonlinear predictive reference governor for constrained control systems

Bemporad, Alberto and Mosca, Edoardo Nonlinear predictive reference governor for constrained control systems. In: Decision and Control Conference. IEEE, New Orleans, December 1995, pp. 1205-1210. ISBN 0-7803-2685-7 (1995)

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This paper presents a new methodology for solving control problems where hard contraints 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 online computational burden turns out to be moderate and the related operations executable with current low-priced computing hardware

Item Type: Book Section
Identification Number: 10.1109/CDC.1995.480261
Uncontrolled Keywords: asymptotic stability; computational complexity; filtering theory; nonlinear control systems; performance index; predictive control
Subjects: H Social Sciences > HB Economic Theory
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 09:20
Last Modified: 16 Jul 2014 12:59
URI: http://eprints.imtlucca.it/id/eprint/591

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