Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems

The problem of constrained model predictive control on a class of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of system, and then, by considering semi-definite programming constraints, weight coefficients...

Full description

Bibliographic Details
Main Authors: Yin, YanYan, Shi, Y., Liu, F.
Format: Journal Article
Published: ICIC International 2013
Online Access:http://hdl.handle.net/20.500.11937/52671
_version_ 1848758983293140992
author Yin, YanYan
Shi, Y.
Liu, F.
author_facet Yin, YanYan
Shi, Y.
Liu, F.
author_sort Yin, YanYan
building Curtin Institutional Repository
collection Online Access
description The problem of constrained model predictive control on a class of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficient matrices for the time variant system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic system, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, constraints on both inputs and outputs are considered for such system and predictive controller is designed in terms of linear matrix inequality. Simulation example shows the validity of this method. © ISSN 1349-4198.
first_indexed 2025-11-14T09:52:39Z
format Journal Article
id curtin-20.500.11937-52671
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:52:39Z
publishDate 2013
publisher ICIC International
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-526712017-04-28T13:59:32Z Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems Yin, YanYan Shi, Y. Liu, F. The problem of constrained model predictive control on a class of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficient matrices for the time variant system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic system, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon, stability of the system is guaranteed by searching a state feedback control law. Finally, constraints on both inputs and outputs are considered for such system and predictive controller is designed in terms of linear matrix inequality. Simulation example shows the validity of this method. © ISSN 1349-4198. 2013 Journal Article http://hdl.handle.net/20.500.11937/52671 ICIC International restricted
spellingShingle Yin, YanYan
Shi, Y.
Liu, F.
Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title_full Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title_fullStr Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title_full_unstemmed Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title_short Constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
title_sort constrained model predictive control on convex polyhedron stochastic linear parameter varying systems
url http://hdl.handle.net/20.500.11937/52671