Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Integrated Optimal Fast Charging and Active Thermal Management of Lithium-Ion Batteries in Extreme Ambient Temperatures
This paper presents an integrated control strategy for optimal fast charging and active thermal management of Lithium-ion batteries in extreme ambient temperatures, striking a balance between charging speed and battery h…
ManagementModel Predictive ControlExtending direct data-driven predictive control towards systems with finite control sets
Although classical model predictive control with finite control sets (FCS-MPC) is quite a popular control method, particularly in the realm of power electronics systems, its direct data-driven predictive control (FCS-DPC…
Model Predictive ControlTowards a unifying framework for data-driven predictive control with quadratic regularization
Data-driven predictive control (DPC) has recently gained popularity as an alternative to model predictive control (MPC). Amidst the surge in proposed DPC frameworks, upon closer inspection, many of these frameworks are m…
Model Predictive ControlTowards Scalable & Efficient Interaction-Aware Planning in Autonomous Vehicles using Knowledge Distillation
Real-world driving involves intricate interactions among vehicles navigating through dense traffic scenarios. Recent research focuses on enhancing the interaction awareness of autonomous vehicles to leverage these intera…
Autonomous VehiclesDecision MakingKnowledge DistillationModel Predictive Control+1Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications
This paper addresses the control synthesis of heterogeneous stochastic linear multi-agent systems with real-time allocation of signal temporal logic (STL) specifications. Based on previous work, we decompose specificatio…
Autonomous DrivingModel Predictive ControlModel Predictive Control of District Heating Grids Using Stabilizing Terminal Ingredients
The transformation of fossil fuel-based district heating grids (DHGs) to CO$_2$-neutral DHGs requires the development of novel operating strategies. Model predictive control (MPC) is a promising approach, as knowledge ab…
Model Predictive ControlA Tutorial on Gaussian Process Learning-based Model Predictive Control
This tutorial provides a systematic introduction to Gaussian process learning-based model predictive control (GP-MPC), an advanced approach integrating Gaussian process (GP) with model predictive control (MPC) for enhanc…
Model Predictive ControlLearning and steering game dynamics towards desirable outcomes
Game dynamics, which describe how agents' strategies evolve over time based on past interactions, can exhibit a variety of undesirable behaviours including convergence to suboptimal equilibria, cycling, and chaos. While …
Model Predictive ControlHierarchical Climate Control Strategy for Electric Vehicles with Door-Opening Consideration
This study proposes a novel climate control strategy for electric vehicles (EVs) by addressing door-opening interruptions, an overlooked aspect in EV thermal management. We create and validate an EV simulation model that…
ManagementModel Predictive ControlEfficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning
AutoMPC is a Python package that automates and optimizes data-driven model predictive control. However, it can be computationally expensive and unstable when exploring large search spaces using pure Bayesian Optimization…
Bayesian OptimizationMeta-LearningModel Predictive ControlLane-Change in Dense Traffic with Model Predictive Control and Neural Networks
This paper presents an online smooth-path lane-change control framework. We focus on dense traffic where inter-vehicle space gaps are narrow, and cooperation with surrounding drivers is essential to achieve the lane-chan…
Model Predictive ControlHarnessing Data for Accelerating Model Predictive Control by Constraint Removal
Model predictive control (MPC) solves a receding-horizon optimization problem in real-time, which can be computationally demanding when there are thousands of constraints. To accelerate online computation of MPC, we util…
Model Predictive ControlAdaptive Economic Model Predictive Control for linear systems with performance guarantees
We present a model predictive control (MPC) formulation to directly optimize economic criteria for linear constrained systems subject to disturbances and uncertain model parameters. The proposed formulation combines a ce…
Model Predictive ControlA Parallel Vector-form $LDL^\top$ Decomposition for Accelerating Execution-time-certified $\ell_1$-penalty Soft-constrained MPC
Handling possible infeasibility and providing an execution time certificate are two pressing requirements of real-time Model Predictive Control (MPC). To meet these two requirements simultaneously, this paper proposes an…
FormModel Predictive ControlThe Artificial Neural Twin -- Process Optimization and Continual Learning in Distributed Process Chains
Industrial process optimization and control is crucial to increase economic and ecologic efficiency. However, data sovereignty, differing goals, or the required expert knowledge for implementation impede holistic impleme…
Continual LearningModel Predictive ControlUnityNonlinear Model Predictive Control for Enhanced Navigation of Autonomous Surface Vessels
This article proposes an approach for collision avoidance, path following, and anti-grounding of autonomous surface vessels under consideration of environmental forces based on Nonlinear Model Predictive Control (NMPC). …
Collision AvoidanceModel Predictive ControlReinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
Optimal control methods provide solutions to safety-critical problems but easily become intractable. Control Barrier Functions (CBFs) have emerged as a popular technique that facilitates their solution by provably guaran…
Bilevel OptimizationModel Predictive ControlReinforcement Learning (RL)A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
The integration of various power sources, including renewables and electric vehicles, into smart grids is expanding, introducing uncertainties that can result in issues like voltage imbalances, load fluctuations, and pow…
Model Predictive ControlSchedulingPolicy Gradient-based Model Free Optimal LQG Control with a Probabilistic Risk Constraint
In this paper, we investigate a model-free optimal control design that minimizes an infinite horizon average expected quadratic cost of states and control actions subject to a probabilistic risk or chance constraint usin…
Model Predictive ControlANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
This paper addresses the particularities in optimal control of the uranium extraction-scrubbing operation in the PUREX process. The control problem requires optimally stabilizing the system at a desired solvent saturatio…
Model Predictive Controlregression