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Robust Model Predictive Control via Scenario Optimization

https://doi.org/10.1109/tac.2012.2203054
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Set-Theoretic Methods in Control
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An efficient off-line formulation of robust model predictive control using linear matrix inequalities
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Robust stabilization of uncertain time-varying discrete systems and comments on “an improved approach for constrained robust model predictive control”
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Constrained model predictive control: Stability and optimality
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Min-max feedback model predictive control for constrained linear systems
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Rejection of Bounded Disturbances via Invariant Ellipsoids Technique
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Scenario-based model predictive control of stochastic constrained linear systems
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Blocking parameterizations for improving the computational tractability of affine disturbance feedback MPC problems
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The Scenario Approach to Robust Control Design
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Robust Explicit MPC Based on Approximate Multiparametric Convex Programming
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Stochastic Receding Horizon Control of Constrained Linear Systems With State and Control Multiplicative Noise
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Parameterized Robust Control Invariant Sets for Linear Systems: Theoretical Advances and Computational Remarks
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Stochastic Tubes in Model Predictive Control With Probabilistic Constraints
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A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
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The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
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Random Convex Programs

What points at this work

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Stochastic MPC of Systems with Additive Disturbance using Scenario Optimization**This work has been partly supported by the Center for Commercial Vehicle Technology (ZNT) at the University of Kaiserslautern funded by Research Initiative of the Federal State of Rhineland-Palatinate.
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Compression learning for chance constrained stochastic MPC**Research supported by the European Commission under the project SPEEDD. The authors would like to thank Prof. S. Garatti for stimulating discussionshttp://www.hamecmopsys.ens2m.fr/.
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On the sample size of randomized MPC for chance-constrained systems with application to building climate control
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Hierarchical control of irrigation canals in the presence of disturbances: Framework and comparison
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Efficient implementation of Randomized MPC for miniature race cars
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An ensemble nonlinear model predictive control algorithm in an artificial pancreas for people with type 1 diabetes
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Stable stochastic predictive controller under unreliable up-link
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Approximation of stochastic nonlinear closed-loop feedback control with application to miniature walking robots
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Kalman Filter Embedded MPC for Stochastic Systems
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Robust Model Integral Predictive Control Design for Reference Tracking DC Servomechanism
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Conservative to confident: Treating uncertainty robustly within Learning-Based Control
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Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering
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Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction
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Probabilistic Collision Avoidance For Multiple Robots: A Closed Form PDF Approach
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Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm
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A Barrier-Based Scenario Approach to Verifying Safety-Critical Systems
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Stochastic Model Predictive Control: An Overview and Perspectives for Future Research
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Formal Verification and Control With Conformal Prediction: Practical Safety Guarantees For Autonomous Systems
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Visual Camouflage and Online Trajectory Planning for Unmanned Aerial Vehicle-Based Disguised Video Surveillance: Recent Advances and a Case Study
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Scenario-based fault-tolerant model predictive control for diesel-electric marine power plant
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2013 Index IEEE Transactions on Automatic Control Vol. 58
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A Scenario Approach for Non-Convex Control Design
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Stochastic Control With Uncertain Parameters via Chance Constrained Control
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Constraint-Tightening and Stability in Stochastic Model Predictive Control
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Model Predictive Control for Stochastic Max-Plus Linear Systems With Chance Constraints
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A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems
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A Distributionally Robust Optimization Based Method for Stochastic Model Predictive Control
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Event-Triggered Cost-Guaranteed Control for Linear Repetitive Processes Under Probabilistic Constraints
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On the Exact Feasibility of Convex Scenario Programs With Discarded Constraints
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Homothetic Tube Model Predictive Control for Nonlinear Systems
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Maximal Admissible Disturbance Constraint Set for Tube-Based Model Predictive Control
inferred← citeshttps://doi.org/10.1109/tac.2023.3321375openalex-snapshot
Distributionally Robust Model Predictive Control With Output Feedback
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Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach
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Robust Model Predictive Control Under Uncontrollable Sampling Intervals
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Predictive Gimbal Control Under Non-Gaussian Disturbances for Robust Aerial Inspection
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Probabilistically Certified Management of Data Centers Using Predictive Control
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MMD-OPT: Maximum Mean Discrepancy-Based Sample Efficient Collision Risk Minimization for Autonomous Driving
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Hierarchical Model Predictive Control for Energy-Aware Scheduling of Digital Twin-Based Batch Manufacturing Systems
inferred← citeshttps://doi.org/10.1109/tase.2026.3691609openalex-snapshot
Mixed-Integer Quadratic Programming-Based Stochastic MPC for Linear Discrete-Time Systems With Online Risk Allocation
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Using AoI Forecasts in Communicating and Robust Distributed Model-Predictive Control
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Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies
inferred← citeshttps://doi.org/10.1109/tcst.2018.2810201openalex-snapshot
4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization
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An Offline-Sampling SMPC Framework With Application to Autonomous Space Maneuvers
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Robust Model Predictive Control of Linear Systems With Predictable Disturbance With Application to Multiobjective Adaptive Cruise Control
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Near-Optimal Rapid MPC Using Neural Networks: A Primal-Dual Policy Learning Framework
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Solving Chance-Constrained Optimization Under Nonparametric Uncertainty Through Hilbert Space Embedding
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Safe High-Performance Autonomous Off-Road Driving Using Covariance Steering Stochastic Model Predictive Control
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Solving Trajectory Optimization Problems in the Presence of Probabilistic Constraints
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S-CoEA: Subproblems Co-Solving Evolutionary Algorithm for Uncertain Optimization
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Computing Probabilistic Bounds on State Trajectories for Uncertain Systems
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Joint Optimization of Trajectory, Propulsion, and Thrust Powers for Covert UAV-on-UAV Video Tracking and Surveillance
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Multivariate Predictive Analytics of Wind Power Data for Robust Control of Energy Storage
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Hybrid Intelligence Assisted Sample Average Approximation Method for Chance Constrained Dynamic Optimization
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Model Predictive Control for Connected Vehicle Platoon Under Switching Communication Topology
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Learning Agent-Based Model Predictive Control for Holistic Vehicle Performance
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Trajectory Optimization of Chance-Constrained Nonlinear Stochastic Systems for Motion Planning Under Uncertainty
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Dynamic Safety Constraints by Scenario-Based Economic Model Predictive Control of Marine Electric Power Plants
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Vehicle Platooning Impact on Drag Coefficients and Energy/Fuel Saving Implications
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A Distributionally Robust Optimization Model for Vehicle Platooning Under Stochastic Disturbances
inferred← citeshttps://doi.org/10.1115/1.4052173openalex-snapshot
Warm Start Method for Solving Chance Constrained Optimal Control Problems Using Biased Kernel Density Estimators
inferred← citeshttps://doi.org/10.1137/120885796openalex-snapshot
Distributed Random Convex Programming via Constraints Consensus
inferred← citeshttps://doi.org/10.1177/0020294019838589openalex-snapshot
An improved constrained dynamic matrix control for temperature in an industrial coke furnace
inferred← citeshttps://doi.org/10.1177/00202940221117099openalex-snapshot
Model predictive control for ARMAX processes with additive outlier noise
inferred← citeshttps://doi.org/10.17979/ja-cea.2025.46.12266openalex-snapshot
Gestión de escenarios ponderados en entornos estocásticos usando control predictivo basado en modelo
inferred← citeshttps://doi.org/10.23919/acc.2017.7962988openalex-snapshot
Stochastic control based on convex lifting
inferred← citeshttps://doi.org/10.23919/acc.2017.7963832openalex-snapshot
Stabilizing stochastic MPC without terminal constraints
inferred← citeshttps://doi.org/10.23919/acc.2017.7963833openalex-snapshot
Racing miniature cars: Enhancing performance using Stochastic MPC and disturbance feedback
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