Robust Tube-Based MPC with Piecewise Affine Control Laws

This paper presents a tube-based model predictive control (MPC) algorithm with piecewise affine control laws for discrete-time linear systems in the presence of bounded disturbances. By solving the standard multiparametric quadratic programming (mp-QP), the explicit piecewise affine control laws for...

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Main Authors: Meng Zhao, Xiaoming Tang
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/358148
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spelling doaj-c6a02f73384d41b48671faac1e18454a2020-11-24T23:54:12ZengHindawi LimitedAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/358148358148Robust Tube-Based MPC with Piecewise Affine Control LawsMeng Zhao0Xiaoming Tang1College of Automation, Chongqing University, Chongqing 400044, ChinaKey Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaThis paper presents a tube-based model predictive control (MPC) algorithm with piecewise affine control laws for discrete-time linear systems in the presence of bounded disturbances. By solving the standard multiparametric quadratic programming (mp-QP), the explicit piecewise affine control laws for tube-based MPC are obtained. Each control law is piecewise affine with respect to the corresponding region (one of the partitions of the feasible set). Due to the fact that the above-mentioned procedures are totally offline, the online computation time is short enough for stabilizing those systems with fast dynamics. In this paper, all the involved constraint sets are assumed to be polytopes. An illustrative example is utilized to verify the feasibility and efficiency of the proposed algorithm.http://dx.doi.org/10.1155/2014/358148
collection DOAJ
language English
format Article
sources DOAJ
author Meng Zhao
Xiaoming Tang
spellingShingle Meng Zhao
Xiaoming Tang
Robust Tube-Based MPC with Piecewise Affine Control Laws
Abstract and Applied Analysis
author_facet Meng Zhao
Xiaoming Tang
author_sort Meng Zhao
title Robust Tube-Based MPC with Piecewise Affine Control Laws
title_short Robust Tube-Based MPC with Piecewise Affine Control Laws
title_full Robust Tube-Based MPC with Piecewise Affine Control Laws
title_fullStr Robust Tube-Based MPC with Piecewise Affine Control Laws
title_full_unstemmed Robust Tube-Based MPC with Piecewise Affine Control Laws
title_sort robust tube-based mpc with piecewise affine control laws
publisher Hindawi Limited
series Abstract and Applied Analysis
issn 1085-3375
1687-0409
publishDate 2014-01-01
description This paper presents a tube-based model predictive control (MPC) algorithm with piecewise affine control laws for discrete-time linear systems in the presence of bounded disturbances. By solving the standard multiparametric quadratic programming (mp-QP), the explicit piecewise affine control laws for tube-based MPC are obtained. Each control law is piecewise affine with respect to the corresponding region (one of the partitions of the feasible set). Due to the fact that the above-mentioned procedures are totally offline, the online computation time is short enough for stabilizing those systems with fast dynamics. In this paper, all the involved constraint sets are assumed to be polytopes. An illustrative example is utilized to verify the feasibility and efficiency of the proposed algorithm.
url http://dx.doi.org/10.1155/2014/358148
work_keys_str_mv AT mengzhao robusttubebasedmpcwithpiecewiseaffinecontrollaws
AT xiaomingtang robusttubebasedmpcwithpiecewiseaffinecontrollaws
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