Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems

This paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise. Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in both the constraints and the cost function of the MPC...

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Main Authors: Pouria Tooranjipour, Bahare Kiumarsi, Hamidreza Modares
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Control Systems
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10578318/
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author Pouria Tooranjipour
Bahare Kiumarsi
Hamidreza Modares
author_facet Pouria Tooranjipour
Bahare Kiumarsi
Hamidreza Modares
author_sort Pouria Tooranjipour
collection DOAJ
description This paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise. Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in both the constraints and the cost function of the MPC framework. This allows the system to navigate the entire spectrum of risk assessments, from worst-case to risk-neutral scenarios, ensuring both constraint satisfaction and performance optimization in stochastic environments. The recursive feasibility and risk-aware exponential stability of the resulting risk-aware MPC are demonstrated through rigorous theoretical analysis by considering the disturbance feedback policy parameterization. In the end, two numerical examples are given to elucidate the efficacy of the proposed method.
format Article
id doaj-art-1bae460e39b5449aa286b693ece454c2
institution Kabale University
issn 2694-085X
language English
publishDate 2024-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of Control Systems
spelling doaj-art-1bae460e39b5449aa286b693ece454c22025-01-09T00:03:02ZengIEEEIEEE Open Journal of Control Systems2694-085X2024-01-01328229410.1109/OJCSYS.2024.342137210578318Risk-Aware Stochastic MPC for Chance-Constrained Linear SystemsPouria Tooranjipour0https://orcid.org/0000-0002-4238-4730Bahare Kiumarsi1https://orcid.org/0000-0002-9701-8375Hamidreza Modares2https://orcid.org/0000-0003-0800-5140Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USADepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USADepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, USAThis paper presents a fully risk-aware model predictive control (MPC) framework for chance-constrained discrete-time linear control systems with process noise. Conditional value-at-risk (CVaR) as a popular coherent risk measure is incorporated in both the constraints and the cost function of the MPC framework. This allows the system to navigate the entire spectrum of risk assessments, from worst-case to risk-neutral scenarios, ensuring both constraint satisfaction and performance optimization in stochastic environments. The recursive feasibility and risk-aware exponential stability of the resulting risk-aware MPC are demonstrated through rigorous theoretical analysis by considering the disturbance feedback policy parameterization. In the end, two numerical examples are given to elucidate the efficacy of the proposed method.https://ieeexplore.ieee.org/document/10578318/Chance constraintsconditional value at riskdistributionally robust optimizationrisk -aware MPC
spellingShingle Pouria Tooranjipour
Bahare Kiumarsi
Hamidreza Modares
Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
IEEE Open Journal of Control Systems
Chance constraints
conditional value at risk
distributionally robust optimization
risk -aware MPC
title Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
title_full Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
title_fullStr Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
title_full_unstemmed Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
title_short Risk-Aware Stochastic MPC for Chance-Constrained Linear Systems
title_sort risk aware stochastic mpc for chance constrained linear systems
topic Chance constraints
conditional value at risk
distributionally robust optimization
risk -aware MPC
url https://ieeexplore.ieee.org/document/10578318/
work_keys_str_mv AT pouriatooranjipour riskawarestochasticmpcforchanceconstrainedlinearsystems
AT baharekiumarsi riskawarestochasticmpcforchanceconstrainedlinearsystems
AT hamidrezamodares riskawarestochasticmpcforchanceconstrainedlinearsystems