Robust model predictive control of constrained linear systems with bounded disturbances

2004/12/10 by D.Q. Mayne, M.M. Seron, Marı́a M. Seron +2 · 1,621 citations
Engineering · Mathematics · #Advanced Control Systems Optimization #Artificial intelligence #Bounded function #Computer science #Control (management) #Control Systems and Identification #Control system #Control theory (sociology) #Engineering #Fault Detection and Control Systems #Invariant (physics) #Linear system #Mathematical optimization #Mathematics #Model predictive control #Robust control

paper · open access · doi:10.1016/j.automatica.2004.08.019

published in Automatica 41(2), 219-224 (Elsevier BV)

openalex publication_date 2004/12/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Citations

• Constrained model predictive control: Stability and optimality

Cited by

• Distributed Cloud Model Predictive Control With Delay Compensation for Heterogeneous Vehicle Platoons
• Relaxed distributed Lyapunov-based model predictive rendezvous control for autonomous underwater vehicles with concurrent learning ADP
• An Efficient Moving Obstacle Avoidance Scheme for UAVs via Output Feedback Robust MPC
• Efficient Domain-Adaptive Policy Learning via Kernel Representation with Application to Quadrotor Control under Non-Stationary Disturbances
• Pick-to-Learn Calibration of an MPC Policy for an Origin-to-Destination Flight Problem
• Model Predictive Control with Infeasible Reference Trajectories
• A Regret Minimization Approach to Iterative Learning Control
• A Robust Model Predictive Control Method for Networked Control Systems
• IMMPC: An Internal Model Based MPC for Rejecting Unknown Disturbances
• Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
• Configuration-Constrained Tube MPC for Periodic Operation
• Explicit Bounds on the Hausdorff Distance for Truncated mRPI Sets via Norm-Dependent Contraction Rates
• Distributed Switching Model Predictive Control Meets Koopman Operator for Dynamic Obstacle Avoidance
• Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
• Koopman-Based Dynamic Environment Prediction for Safe UAV Navigation
• Time-Optimal Model Predictive Control for Linear Systems with Multiplicative Uncertainties
• Reachability-Based Safe-Start Regions for Approach to a Tumbling Target with Rotating LOS Constraints
• Self-Adaptive Learning and Model Predictive Control for Tracking Unknown Dynamics with No Regret
• Robust MPC for temperature management on electrical transmission lines
• Model-plant mismatch learning offset-free model predictive control
• Learning Certified Control using Contraction Metric
• Robust MPC for Large-scale Linear Systems
• Safe Sampling-Based Air-Ground Rendezvous Algorithm for Complex Urban Environments
• Reachable Predictive Control: A Novel Control Algorithm for Nonlinear Systems with Unknown Dynamics and its Practical Applications
• Robust Data-Driven Control for Nonlinear Systems Using their Digital Twins and Quadratic Funnels
• Zonotope-Based Elastic Tube Model Predictive Control
• Input-to-state Stable Approximate Nonlinear Model Predictive Control with Realtime Feasibility
• Robust optimal control using dynamic programming and guaranteed Euler's method
• Tube-based Guaranteed Cost Robust Model Predictive Control for Linear Systems Subject to Parametric Uncertainties
• Ellipsoidal partitions for improved multi-stage robust model predictive control
• Robust feedback motion planning via contraction theory
• Partitioning techniques for non-centralized predictive control: A systematic review and novel theoretical insights
• Physics-Informed Neural Networks in Clean Combustion: A Pathway to Sustainable Aerospace Propulsion
• Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
• Robust Convex Model Predictive Control with collision avoidance guarantees for robot manipulators
• Safe Navigation under State Uncertainty: Online Adaptation for Robust Control Barrier Functions
• Robust tracking MPC for perturbed nonlinear systems -- Extended version
• Convexity and monotonicity in nonlinear optimal control under uncertainty
• Predictive Control for Driving under Uncertain Road Geometry Estimated from Onboard Vision
• System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation
• Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC
• Data-driven Distributionally Robust MPC: An indirect feedback approach
• Funnel Libraries for Real-Time Robust Feedback Motion Planning
• Reducing the computational effort of min-max model predictive control with regional feedback laws
• Rollout scheduling and control for disturbed systems via tube MPC: extended version
• Relational Graph Learning for Crowd Navigation
• Tube MPC for Bilinear Koopman Models using Robust Control Contraction Metrics
• Quantification of Sim2Real Gap via Neural Simulation Gap Function
• Stabilizing predictive control with persistence of excitation for\n constrained linear systems
• On control of discrete-time state-dependent jump linear systems with\n probabilistic constraints: A receding horizon approach
• Distributed MPC: Guaranteeing Global Stabilizability from Locally Designed Tubes
• Learning-based Homothetic Tube MPC
• Safety-Guaranteed Ship Berthing Using Cascade Tube-Based Model Predictive Control
• Robust distributed model predictive control of linear systems: analysis and synthesis
• On Model Predictive Funnel Control with Equilibrium Endpoint Constraints
• Robust Model Predictive Control for Nonlinear Systems Using Convex Restriction
• Efficient Configuration-Constrained Tube MPC via Variables Restriction and Template Selection
• Aging-Aware Battery Control via Convex Optimization
• Incremental Proximal Multi-Forecast Model Predictive Control
• Recursive feasibility for stochastic MPC and the rationale behind fixing flat tires
• Robust Trajectory Tracking Error Model-Based Predictive Control for Unmanned Ground Vehicles
• No-Regret Model Predictive Control with Online Learning of Koopman Operators
• Stochastic MPC with Dynamic Feedback Gain Selection and Discounted Probabilistic Constraints
• Robust tube-based MPC for tracking of constrained linear systems with additive disturbances
• A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
• Fault Diagnosis and Minimum Rational Entropy Fault Tolerant Control of Stochastic Distribution Collaborative Systems. [europepmc]
• Stochastic Multilayer Optimization for an Acrylic Acid Reactor. [europepmc]
• Coalitional Distributed Model Predictive Control Strategy for Vehicle Platooning Applications. [europepmc]
• Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation. [europepmc]
• Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [europepmc]
• Vehicle-Conditional Split-Conformal Calibration for Risk-Budgeted Sub-Second Proxy-Triggered Vehicle Instability Warnings from Past-Only Sensor Slices. [europepmc]
• Quantum Computing for Optimal Dispatch of Virtual Power Plants Under Wind and Solar Uncertainty [europepmc]