Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Should we use model-free or model-based control? A case study of battery management systems
Reinforcement learning (RL) and model predictive control (MPC) each offer distinct advantages and limitations when applied to control problems in power and energy systems. Despite various studies on these methods, benchm…
ManagementmodelModel Predictive ControlReinforcement Learning (RL)Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
Scenario-based optimization and control has proven to be an efficient approach to account for system uncertainty. In particular, the performance of scenario-based model predictive control (MPC) schemes depends on the acc…
Meta-LearningModel Predictive ControlUncertainty QuantificationEvaluating the Impact of Data Availability on Machine Learning-augmented MPC for a Building Energy Management System
A major challenge in the development of Model Predictive Control (MPC)-based energy management systems (EMSs) for buildings is the availability of an accurate model. One approach to address this is to augment an existing…
energy managementManagementModel Predictive ControlPredictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise
We present a stochastic model predictive control framework for nonlinear systems subject to unbounded process noise with closed-loop guarantees. First, we provide a conceptual shrinking-horizon framework that utilizes ge…
Computational EfficiencyFrictionModel Predictive ControlLatent Linear Quadratic Regulator for Robotic Control Tasks
Model predictive control (MPC) has played a more crucial role in various robotic control tasks, but its high computational requirements are concerning, especially for nonlinear dynamical models. This paper presents a $\t…
Model Predictive ControlStrategies for Resilience and Battery Life Extension in the Face of Communication Losses for Isolated Microgrids
This study addresses the challenges of energy deficiencies and high impact low probability (HILP) events in modern electrical grids by developing resilient microgrid energy management strategies. It introduces a sliding …
energy managementManagementModel Predictive ControlGraph Neural Networks with Model-based Reinforcement Learning for Multi-agent Systems
Multi-agent systems (MAS) constitute a significant role in exploring machine intelligence and advanced applications. In order to deeply investigate complicated interactions within MAS scenarios, we originally propose "GN…
Autonomous DrivingModel-based Reinforcement LearningModel Predictive ControlA software framework for stochastic model predictive control of nonlinear continuous-time systems (GRAMPC-S)
This paper presents the open-source stochastic model predictive control framework GRAMPC-S for nonlinear uncertain systems with chance constraints. It provides several uncertainty propagation methods to predict stochasti…
Model Predictive ControlReal-Time Anomaly Detection and Reactive Planning with Large Language Models
Foundation models, e.g., large language models (LLMs), trained on internet-scale data possess zero-shot generalization capabilities that make them a promising technology towards detecting and mitigating out-of-distributi…
Anomaly DetectionAutonomous VehiclesModel Predictive ControlZero-shot GeneralizationHardware Neural Control of CartPole and F1TENTH Race Car
Nonlinear model predictive control (NMPC) has proven to be an effective control method, but it is expensive to compute. This work demonstrates the use of hardware FPGA neural network controllers trained to imitate NMPC w…
Model Predictive ControlImprove Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles
According to a conservative estimate, a 1% reduction in forecast error for a 10 GW energy utility can save up to $ 1.6 million annually. In our context, achieving precise forecasts of future power consumption is crucial …
Load ForecastingModel Predictive ControlPredictionTransfer LearningApplication of Data-Driven Model Predictive Control for Autonomous Vehicle Steering
With the development of autonomous driving technology, there are increasing demands for vehicle control, and MPC has become a widely researched topic in both industry and academia. Existing MPC control methods based on v…
Autonomous DrivingModel Predictive ControlSteering ControlData-Driven Multi-Modal Learning Model Predictive Control
We present a Learning Model Predictive Controller (LMPC) for multi-modal systems performing iterative control tasks. Assuming availability of historical data, our goal is to design a data-driven control policy for the mu…
FrictionModel Predictive ControlData-driven model predictive control of battery storage units
In many state-of-the-art control approaches for power systems with storage units, an explicit model of the storage dynamics is required. With growing numbers of storage units, identifying these dynamics can be cumbersome…
Model Predictive ControlBalancing Operators Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control
Model Predictive Control (MPC) is an optimal control strategy suited for flood control of water resources infrastructure. Despite many studies on reservoir flood control and their theoretical contribution, optimisation m…
Model Predictive ControlPrediction-Free Coordinated Dispatch of Microgrid: A Data-Driven Online Optimization Approach
Traditional prediction-dependent dispatch methods can face challenges when renewables and prices predictions are unreliable in microgrid. Instead, this paper proposes a novel prediction-free two-stage coordinated dispatc…
Computational EfficiencyDecision MakingModel Predictive ControlPPO-based Dynamic Control of Uncertain Floating Platforms in the Zero-G Environment
In the field of space exploration, floating platforms play a crucial role in scientific investigations and technological advancements. However, controlling these platforms in zero-gravity environments presents unique cha…
Model Predictive ControlNavigateData-Driven Subsynchronous Oscillation Suppression for Renewable Energy Integrated Power Systems Based on Koopman Operator
Recently, subsynchronous oscillations (SSOs) have emerged frequently worldwide, with the high penetration of renewable power generation in modern power systems. The SSO introduced by renewables has become a prominent new…
Model Predictive ControlRoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing
Tactile feedback is critical for understanding the dynamics of both rigid and deformable objects in many manipulation tasks, such as non-prehensile manipulation and dense packing. We introduce an approach that combines v…
Graph Neural NetworkModel Predictive ControlMARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge
The rapid decline in groundwater around the world poses a significant challenge to sustainable agriculture. To address this issue, agricultural managed aquifer recharge (Ag-MAR) is proposed to recharge the aquifer by art…
Model Predictive ControlSchedulingTime SeriesTime Series Forecasting