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Constraint fulfilment in control systems via predictive reference management

Bemporad, Alberto and Mosca, Edoardo Constraint fulfilment in control systems via predictive reference management. In: Decision and Control Conference. 0-7803-1968-0 , 3 . IEEE, Lake Buena Vista, December 1994, pp. 3016-3022. (1994)

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Abstract

The problem of satisfying input and state-dependent inequality constraints in feedback control systems is addressed. The proposed solution is based on predicting the evolution of the constrained vector and, accordingly, selecting online the future reference based on both the current state and the desired set-point changes. An analysis is presented so as to establish stability and offset-free properties of the method when embodied in an LQ regulated system. Finally, simulations are used to evaluate the achievable performance

Item Type: Book Section
Identification Number: https://doi.org/10.1109/CDC.1994.411327
Uncontrolled Keywords: LQ regulated system; constrained vector evolution prediction; constraint fulfilment; feedback control systems; input-dependent inequality constraints; offset-free properties; predictive reference management; stability; state-dependent inequality constraints; control system analysis; feedback; linear quadratic control; predictive control; stability
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TJ Mechanical engineering and machinery
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 09:22
Last Modified: 28 Jan 2014 09:18
URI: http://eprints.imtlucca.it/id/eprint/621

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