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Robust and stochastic model predictive control: Are we going in the right direction?

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/9781118501054.ch6openalex-snapshot
Model Predictive Control
inferredcites →https://doi.org/10.1002/rnc.1758openalex-snapshot
Tube‐based robust nonlinear model predictive control
inferredcites →https://doi.org/10.1007/978-0-85729-501-9openalex-snapshot
Nonlinear Model Predictive Control
inferredcites →https://doi.org/10.1007/978-0-85729-501-9_3openalex-snapshot
Nonlinear Model Predictive Control
inferredcites →https://doi.org/10.1007/978-1-4471-4610-0openalex-snapshot
Randomized Algorithms for Analysis and Control of Uncertain Systems: With Applications
inferredcites →https://doi.org/10.1007/s10107-003-0499-yopenalex-snapshot
Uncertain convex programs: randomized solutions and confidence levels
inferredcites →https://doi.org/10.1016/j.automatica.2004.08.019openalex-snapshot
Robust model predictive control of constrained linear systems with bounded disturbances
inferredcites →https://doi.org/10.1016/j.automatica.2005.08.023openalex-snapshot
Optimization over state feedback policies for robust control with constraints
inferredcites →https://doi.org/10.1016/j.automatica.2010.06.034openalex-snapshot
Explicit use of probabilistic distributions in linear predictive control
inferredcites →https://doi.org/10.1016/j.automatica.2014.10.128openalex-snapshot
Model predictive control: Recent developments and future promise
inferredcites →https://doi.org/10.1016/j.automatica.2014.11.004openalex-snapshot
Randomized methods for design of uncertain systems: Sample complexity and sequential algorithms
inferredcites →https://doi.org/10.1016/j.automatica.2015.07.013openalex-snapshot
On the sample size of random convex programs with structured dependence on the uncertainty
inferredcites →https://doi.org/10.1016/j.ifacol.2015.09.022openalex-snapshot
Model Predictive Control in Industry: Challenges and Opportunities
inferredcites →https://doi.org/10.1016/j.sysconle.2011.05.013openalex-snapshot
Conditions under which suboptimal nonlinear MPC is inherently robust
inferredcites →https://doi.org/10.1016/s0005-1098(01)00051-6openalex-snapshot
Systems with persistent disturbances: predictive control with restricted constraints
inferredcites →https://doi.org/10.1016/s0005-1098(97)00171-4openalex-snapshot
A numerically robust state-space approach to stable-predictive control strategies
inferredcites →https://doi.org/10.1016/s0005-1098(99)00214-9openalex-snapshot
Constrained model predictive control: Stability and optimality
inferredcites →https://doi.org/10.1016/s0967-0661(02)00186-7openalex-snapshot
A survey of industrial model predictive control technology
inferredcites →https://doi.org/10.1049/el:20010951openalex-snapshot
Robustifying model predictive control ofconstrained linear systems
inferredcites →https://doi.org/10.1049/ic.2010.0343openalex-snapshot
Explicit use of probabilistic distributions in linear predictive control
inferredcites →https://doi.org/10.1080/00207179.2013.813647openalex-snapshot
An apologia for stabilising terminal conditions in model predictive control
inferredcites →https://doi.org/10.1109/9.751369openalex-snapshot
Suboptimal model predictive control (feasibility implies stability)
inferredcites →https://doi.org/10.1109/acc.2015.7170904openalex-snapshot
Decomposition via ADMM for scenario-based Model Predictive Control
inferredcites →https://doi.org/10.1109/acc36184.2015openalex-snapshot
2015 American Control Conference (ACC)
inferredcites →https://doi.org/10.1109/cdc.1993openalex-snapshot
Proceedings of 32nd IEEE Conference on Decision and Control
inferredcites →https://doi.org/10.1109/cdc.2002.1184455openalex-snapshot
Proceedings Of The 41st IEEE Conference On Decision And Control
inferredcites →https://doi.org/10.1109/cdc.2009.5399917openalex-snapshot
Scenario-based model predictive control of stochastic constrained linear systems
inferredcites →https://doi.org/10.1109/cdc.2012.6426462openalex-snapshot
A randomized approach to Stochastic Model Predictive Control
inferredcites →https://doi.org/10.1109/cdc.2013.6761118openalex-snapshot
Stochastic Model Predictive Control using a combination of randomized and robust optimization
inferredcites →https://doi.org/10.1109/ivs.2015.7225752openalex-snapshot
Scenario model predictive control for lane change assistance on highways
inferredcites →https://doi.org/10.1109/tac.2005.843854openalex-snapshot
Invariant approximations of the minimal robust positively Invariant set
inferredcites →https://doi.org/10.1109/tac.2006.875014openalex-snapshot
On the stability of constrained MPC without terminal constraint
inferredcites →https://doi.org/10.1109/tac.2006.875041openalex-snapshot
The Scenario Approach to Robust Control Design
inferredcites →https://doi.org/10.1109/tac.2008.2010886openalex-snapshot
Stochastic Receding Horizon Control of Constrained Linear Systems With State and Control Multiplicative Noise
inferredcites →https://doi.org/10.1109/tac.2012.2203054openalex-snapshot
Robust Model Predictive Control via Scenario Optimization
inferredcites →https://doi.org/10.1109/tac.2014.2335274openalex-snapshot
On Stability and Performance of Stochastic Predictive Control Techniques
inferredcites →https://doi.org/10.1109/tac.2016.2625048openalex-snapshot
Constraint-Tightening and Stability in Stochastic Model Predictive Control
inferredcites →https://doi.org/10.1137/07069821xopenalex-snapshot
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs
inferredcites →https://doi.org/10.1137/090773490openalex-snapshot
Random Convex Programs
inferredcites →https://doi.org/10.3182/20120823-5-nl-3013.00040openalex-snapshot
An Industry Perspective on MPC in Large Volumes Applications: Potential Benefits and Open Challenges
inferredcites →https://doi.org/10.3929/ethz-b-000484306openalex-snapshot
A Scenario Approach for Non-Convex Control Design

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Oil Production Optimisation in Gas-Lift Systems Using Lpv Nonlinear Model Predictive Control
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Stochastic model predictive control for tracking linear systems
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Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint
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Stochastic model predictive control: Insights and performance comparisons for linear systems
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Enhanced information reconfiguration for distributed model predictive control for cyber‐physical networked systems
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Robust MPC for linear systems with bounded disturbances based on admissible equilibria sets
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Robust nonlinear model predictive control based on nominal predictions with piecewise constant references and bounded disturbances
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Moment based model predictive control for linear systems: Additive perturbations case
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Data‐driven predictive control for a class of uncertain control‐affine systems
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Ellipsoidal tube‐based output feedback robust MPC for linear systems with bounded disturbances and noises
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Computationally Efficient Nonlinear MPC for Discrete System with Disturbances
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A Novel Stochastic Model Predictive Control Considering Predictable Disturbance With Application to Personalized Adaptive Cruise Control
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String stability for vehicular platoon control: Definitions and analysis methods
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Position and attitude control of multi-rotor aerial vehicles: A survey
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Model predictive control design for linear parameter varying systems: A survey
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All you need to know about model predictive control for buildings
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Analysis and design of model predictive control frameworks for dynamic operation—An overview
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Systematic survey on model predictive control schemes applied to offshore deep water wells in oil and gas industry
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Robust MPC for tracking constrained unicycle robots with additive disturbances
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Online learning based risk-averse stochastic MPC of constrained linear uncertain systems
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Reference tracking stochastic model predictive control over unreliable channels and bounded control actions
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Robust economic model predictive control with zone tracking
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Stochastic model predictive control — how does it work?
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Real-time feasibility of nonlinear model predictive control for semi-batch reactors subject to uncertainty and disturbances
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Fixed complexity solution of partial explicit MPC
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Robust fuzzy model predictive control for energy management systems in fuel cell vehicles
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Predictive modeling and robust nonlinear control of a polysilicon reactor system for enhanced solar cell production
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A real-time nonlinear robust MPC strategy for electric vehicle stability with model uncertainty
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Stochastic model predictive control for chiller systems using machine-learning models with quantified prediction uncertainty
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Safe Motion Planning and Control Framework for Automated Vehicles with Zonotopic TRMPC
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Safe learning-based gradient-free model predictive control based on cross-entropy method
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Online learning-based stochastic model predictive control with probabilistic safety guarantees for robotic visual servoing
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Enhanced gas-lift system operation using LPV nonlinear model predictive control
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Risk-averse Stochastic Nonlinear Model Predictive Control for Real-time Safety-critical Systems
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Robust output feedback MPC for uncertain linear systems with reduced conservatism
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Towards Optimal Tuning of Robust Output Feedback MPC
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Robust Economic Model Predictive Control with Zone Control
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Robust MPC for networks with varying communication capabilities
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Does the effort of Monte Carlo pay off? A case study on stochastic MPC
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Data-driven distributionally robust MPC via semi-infinite semidefinite programming with application to financial models
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Model predictive control and estimation of managed pressure drilling using a real-time high fidelity flow model
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Robust decoupling MPC for linear systems with bounded disturbances
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Varying Zonotopic tube RMPC with switching logic for lateral path tracking of autonomous vehicle
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A differential Lyapunov-based tube MPC approach for continuous-time nonlinear processes
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Multi-strategy control to extend the feasibility region for robust model predictive control
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Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition
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Model predictive control of switching continuous‐time systems with stochastic jumps: Application to an electric current source
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Constrained robust model predicted control of discrete‐time Markov jump linear systems
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Synchronous distributed receding horizon control for uncertain networked systems with time delays
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Fast zonotope‐tube‐based LPV‐MPC for autonomous vehicles
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Investigating the performance of scenario-based model predictive control of space heating in residential buildings
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A framework for time-consistent, risk-averse model predictive control: Theory and algorithms
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A methodology for the comparison of traditional MPC and stochastic MPC in the context of the regulation of blood glucose levels in Type 1 diabetics
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Low latency output feedback model predictive control for constrained linear systems
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Ask not what ADMM can do for you, ask what you can do for ADMM — Virtual subsystems in MPC
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Robust output feedback MPC with reduced conservatism for linear uncertain systems using time varying tubes
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Stochastic Exponential Stability of Nonlinear Stochastic Model Predictive Control
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Risk in Stochastic and Robust Model Predictive Path-Following Control for Vehicular Motion Planning
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Scalable clock synchronization analysis: A symmetric noncooperative output feedback tubes-MPC approach
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A Survey of Output Feedback Robust MPC for Linear Parameter Varying Systems
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Distributed Adaptive-MPC Type Optimal PMS for PV-Battery Based Isolated Microgrid
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Adaptive Stochastic MPC Under Time-Varying Uncertainty
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Nonlinear Stochastic Model Predictive Control: Existence, Measurability, and Stochastic Asymptotic Stability
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The Stochastic Robustness of Nominal and Stochastic Model Predictive Control
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On the Inherent Distributional Robustness of Stochastic and Nominal Model Predictive Control
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Scalable Computation of Robust Control Invariant Sets of Nonlinear Systems
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Stochastic MPC With Robustness to Bounded Parameteric Uncertainty
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Online Constraint Tightening in Stochastic Model Predictive Control: A Regression Approach
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Predictive Control for Nonlinear Stochastic Systems: Closed-Loop Guarantees With Unbounded Noise
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Constrained Reinforcement Learning Using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control
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Function-Level Adaptive Model Predictive Control Applied to Attitude Tracking of High-Speed Aircraft
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Tube-Based Discrete Controller Design for Vehicle Platoons Subject to Disturbances and Saturation Constraints
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Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment
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Distributed-MPC Type Optimal EMS for Renewables and EVs Based Grid-Connected Building Integrated Microgrid
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Distributed Learning-Based Secondary Control for Islanded DC Microgrids: A High-Order Fully Actuated System Approach
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Koopman-Based Hybrid Modeling and Zonotopic Tube Robust MPC for Motion Control of Automated Vehicles
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Robust Distributed Model Predictive Control of Multi-Platoon Leader in Mixed Traffic
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Robust Platoon Control in Mixed Traffic Flow Based on Tube Model Predictive Control
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Integration of Motion Planning and Control for High-Performance Automated Vehicles Using Tube-Based Nonlinear MPC
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Fuzzy Model Based Control for Energy Management and Optimization in Fuel Cell Vehicles
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Proposta de estratégia de controle de temperatura baseada em pré-resfriamento de produtos agrícolas perecíveis no transporte refrigerado rodoviário.
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Covariance tracking method for designing a robust receding horizon controller
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Distributed nonlinear model predictive control for a quadrotor UAV
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The State of the Art in Model Predictive Control Application for Demand Response
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Uncertainty-aware linear MPC for a grid-tied residential solar PV-battery-EV energy management under time-of-use tariffs
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Uncertainty-aware model predictive control-based energy management for a grid-tied residential solar PV–battery–EV system under time-of-use tariffs
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Robust and Stochastic MPC for Tracking: A Performance Comparison
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Safe Reinforcement Learning Using Model Predictive Control with Probabilistic Control Barrier Function
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A Heuristic for Dynamic Output Predictive Control Design for Uncertain Nonlinear Systems
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Computing Robust Control Invariant Sets of Nonlinear Systems Using Polynomial Controller Synthesis
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A Simple and Efficient Tube-based Robust Output Feedback Model Predictive Control Scheme
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Control Design with Guaranteed Statistical Performance and Application to Flight Control
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Loads Control During Maneuvering in a Non-Still Atmosphere
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A Machine Learning-Based Model Predictive Control Method for Pumped Storage Systems
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Stochastic Time-Varying Model Predictive Control for Trajectory Tracking of a Wheeled Mobile Robot
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Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios
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An Industrial Quadrotor UAV Control Method Based on Fuzzy Adaptive Linear Active Disturbance Rejection Control
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Two-Layer Smooth Approximation for Solving Probabilistic Constrained Programs
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Two-Layer Smooth Approximation for Solving Probabilistic Constrained Programs
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Simultaneous state estimation and control for nonlinear systems subject to bounded disturbances
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Contingency Model Predictive Control for Linear Time-Varying Systems
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Multi-Model Predictive Control of a Distillation Column
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