Stable receding-horizon scenario predictive control for Markov-jump linear systems

DOI10.1016/j.automatica.2017.07.032zbMath1375.93136OpenAlexW2754984236MaRDI QIDQ1678619

Antonio Sala, Manuel Hernández-Mejías, Carlos Ariño

Publication date: 17 November 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2017.07.032

zbMATH Keywords

model predictive controlmean-square stabilityconstrained linear systemsreceding-horizonMarkov-jump linear systems

Mathematics Subject Classification ID

Related Items (5)

Fault detection filter design for a class of nonlinear Markovian jumping systems with mode-dependent time-varying delays ⋮ Finite-time control of discrete-time semi-Markov jump linear systems: a self-triggered MPC approach ⋮ An efficient robust model predictive control for nonlinear Markov jump systems with persistent disturbances using matrix partition ⋮ Stability analysis of LPV systems: scenario approach ⋮ Model predictive control design for constrained Markov jump bilinear stochastic systems with an application in finance

Uses Software

• MPT

Cites Work

• Unnamed Item
• Stochastic model predictive control for constrained discrete-time Markovian switching systems
• The scenario approach for stochastic model predictive control with bounds on closed-loop constraint violations
• Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
• Ultimate boundedness control for uncertain discrete-time systems via set-induced Lyapunov functions
• Min-max feedback model predictive control for constrained linear systems
• Reliability and time‐to‐failure bounds for discrete‐time constrained Markov jump linear systems
• Stabilizing Model Predictive Control of Stochastic Constrained Linear Systems
• Robust Model Predictive Control via Scenario Optimization

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