Stable receding-horizon scenario predictive control for Markov-jump linear systems
type: Item
instance of: scholarly article
title: Stable receding-horizon scenario predictive control for Markov-jump linear systems
zbMATH Open document ID: 1375.93136
author: Antonio Sala
author: Manuel A. Hernández-Mejías
author: Carlos Ariño
published in: Automatica
publication date: 2017-11-17T00:00:00Z
Mathematics Subject Classification ID: 93E15
Mathematics Subject Classification ID: 93B40
Mathematics Subject Classification ID: 60J75
Mathematics Subject Classification ID: 93C05
Mathematics Subject Classification ID: 93C55
zbMATH DE Number: 6808551
zbMATH Keywords: Markov-jump linear systems
zbMATH Keywords: model predictive control
zbMATH Keywords: receding-horizon
zbMATH Keywords: constrained linear systems
zbMATH Keywords: mean-square stability
describes a project that uses: MPT
MaRDI profile type: Publication
full work available at URL: j.automatica.2017.07.032
OpenAlex ID: W2754984236
cites work: Stabilizing Model Predictive Control of Stochastic Constrained Linear Systems
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cites work: Ultimate boundedness control for uncertain discrete-time systems via set-induced Lyapunov functions
cites work: Robust Model Predictive Control via Scenario Optimization
cites work: Q4651858
cites work: Reliability and time‐to‐failure bounds for discrete‐time constrained Markov jump linear systems
cites work: Stochastic model predictive control for constrained discrete-time Markovian switching systems
cites work: The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations
cites work: Min-max feedback model predictive control for constrained linear systems
DOI: 10.1016/J.AUTOMATICA.2017.07.032
description: scientific article; zbMATH DE number 6808551