Model predictive control for constrained uncertain, time-varying systems

Hoai Nam Nguyen; Per Olof Gutman

doi:10.1016/j.ifacol.2015.09.310

Model predictive control for constrained uncertain, time-varying systems

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, a new state feedback model predictive control for polytopic uncertain and/or time-varying linear discrete-time systems with input and state constraints is proposed. The main idea is to incorporate state decomposition principle and model predictive control in order to obtain a large domain of attraction using a short prediction horizon. At each time instant a quadratic programming problem is solved on-line. Proofs of recursive feasibility and asymptotic stability are given.

Original language	English
Pages (from-to)	930-935
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	48
Issue number	11 11
DOIs	https://doi.org/10.1016/j.ifacol.2015.09.310
Publication status	Published - 1 Jan 2015
Externally published	Yes

Keywords

Constrained Control
Model Predictive Control
Quadratic Programming
Uncertain System

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10.1016/j.ifacol.2015.09.310

Cite this

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title = "Model predictive control for constrained uncertain, time-varying systems",

abstract = "In this paper, a new state feedback model predictive control for polytopic uncertain and/or time-varying linear discrete-time systems with input and state constraints is proposed. The main idea is to incorporate state decomposition principle and model predictive control in order to obtain a large domain of attraction using a short prediction horizon. At each time instant a quadratic programming problem is solved on-line. Proofs of recursive feasibility and asymptotic stability are given.",

keywords = "Constrained Control, Model Predictive Control, Quadratic Programming, Uncertain System",

author = "Nguyen, \{Hoai Nam\} and Gutman, \{Per Olof\}",

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AU - Gutman, Per Olof

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AB - In this paper, a new state feedback model predictive control for polytopic uncertain and/or time-varying linear discrete-time systems with input and state constraints is proposed. The main idea is to incorporate state decomposition principle and model predictive control in order to obtain a large domain of attraction using a short prediction horizon. At each time instant a quadratic programming problem is solved on-line. Proofs of recursive feasibility and asymptotic stability are given.

KW - Constrained Control

KW - Model Predictive Control

KW - Quadratic Programming

KW - Uncertain System

U2 - 10.1016/j.ifacol.2015.09.310

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Model predictive control for constrained uncertain, time-varying systems

Abstract

Keywords

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