Fulfilling hard constraints in uncertain linear systems by reference managing
type: Item
instance of: scholarly article
title: Fulfilling hard constraints in uncertain linear systems by reference managing
zbMATH Open document ID: 0949.93025
DOI: 10.1016/S0005-1098(97)00213-6
author: A. Bemporad
author: Edoardo Mosca
published in: Automatica
publication date: 2000-12-05T00:00:00Z
review text: A control scheme for constrained uncertain tracking systems is addressed. To the primal compensated system a predictive reference filter (PRF) is added. The PRF operation is based on the receding horizon control philosophy. The primal system is supposed to be a standard feedback loop designed in the absence of constraints. It is shown that if the admissibility condition on the initial state is satisfied, the control scheme will fulfill the constraints, as well the stability and set-point tracking requirements for all systems whose step responses lie within the given set. At the same time the computational burden caused by the PRF is claimed to be moderate. Some useful PRF implementation guidelines are also suggested. An application example illustrates the improvement of stability, tracking, and other properties of a fast servomechanism.
Mathematics Subject Classification ID: 93B51
zbMATH DE Number: 1325725
zbMATH Keywords: predictive control
zbMATH Keywords: constrained uncertain tracking systems
zbMATH Keywords: predictive reference filter
zbMATH Keywords: receding horizon control
zbMATH Keywords: stability
zbMATH Keywords: step responses
reviewed by: Ingmar Randvee
MaRDI profile type: Publication
full work available at URL: s0005-1098(97)00213-6
OpenAlex ID: W2051454550
description: scientific article; zbMATH DE number 1325725