relation: http://eprints.imtlucca.it/597/
title: Robust nonlinear reference filtering for constrained linear systems with uncertain impulse/step responses
creator: Bemporad, Alberto
creator: Mosca, Edoardo
subject: QA Mathematics
subject: QA75 Electronic computers. Computer science
subject: TJ Mechanical engineering and machinery
description: A method based on conceptual tools of predictive control is described for solving tracking problems wherein pointwise-in-time input and/or state inequality constraints and model uncertainties are present. It consists of adding to a primal compensated system a nonlinear device called predictive reference filter (PRF) which manipulates the desired trajectory in order to fulfill the prescribed constraints. Provided that an admissibility condition on the initial state is satisfied, the control scheme is proved to fulfill the constraints and be asymptotically stable for all the systems whose impulse-response and step-response descriptions lie within given uncertainty ranges
publisher: IEEE
date: 1996
type: Book Section
type: PeerReviewed
identifier:   Bemporad, Alberto and Mosca, Edoardo  Robust nonlinear reference filtering for constrained linear systems with uncertain impulse/step responses.   In:  Decision and Control Conference.   IEEE, Kobe, Japan, December 1996, pp. 3527-3528.  ISBN 0-7803-3590-2       (1996)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=573717&isnumber=12402
relation: 10.1109/CDC.1996.573717