Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Controller Adaptation via Learning Solutions of Contextual Bayesian Optimization
In this work, we propose a framework for adapting the controller's parameters based on learning optimal solutions from contextual black-box optimization problems. We consider a class of control design problems for dynami…
Bayesian OptimizationGaussian ProcessesModel Predictive ControlPhysics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells
Neural networks, while powerful, often lack interpretability. Physics-Informed Neural Networks (PINNs) address this limitation by incorporating physics laws into the loss function, making them applicable to solving Ordin…
Model Predictive ControlProgressive Smoothing for Motion Planning in Real-Time NMPC
Nonlinear model predictive control (NMPC) is a popular strategy for solving motion planning problems, including obstacle avoidance constraints, in autonomous driving applications. Non-smooth obstacle shapes, such as rect…
Autonomous DrivingModel Predictive ControlMotion PlanningComTraQ-MPC: Meta-Trained DQN-MPC Integration for Trajectory Tracking with Limited Active Localization Updates
Optimal decision-making for trajectory tracking in partially observable, stochastic environments where the number of active localization updates -- the process by which the agent obtains its true state information from t…
Decision MakingModel Predictive ControlSchedulingState EstimationDistributed MPC for autonomous ships on inland waterways with collaborative collision avoidance
This paper presents a distributed solution for the problem of collaborative collision avoidance for autonomous inland waterway ships. A two-layer collision avoidance framework that considers inland waterway traffic regul…
Collision AvoidanceModel Predictive ControlClosed-loop training of static output feedback neural network controllers for large systems: A distillation case study
The online implementation of model predictive control for constrained multivariate systems has two main disadvantages: it requires an estimate of the entire model state and an optimisation problem must be solved online. …
Model Predictive ControlModel Predictive Control with adaptive resilience for Denial-of-Service Attacks mitigation on a Regulated Dam
In recent years, SCADA (Supervisory Control and Data Acquisition) systems have increasingly become the target of cyber attacks. SCADAs are no longer isolated, as web-based applications expose strategic infrastructures to…
Model Predictive ControlOnline Ecological Gearshift Strategy via Neural Network with Soft-Argmax Operator
This paper presents a neural network optimizer with soft-argmax operator to achieve an ecological gearshift strategy in real-time. The strategy is reformulated as the mixed-integer model predictive control (MIMPC) proble…
Model Predictive ControlHighway Discretionary Lane-change Decision and Control Using Model Predictive Control
To enable autonomous vehicles to perform discretionary lane change amidst the random traffic flow on highways, this paper introduces a decision-making and control method for vehicle lane change based on Model Predictive …
Autonomous VehiclesDecision MakingModel Predictive ControlTraffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted ener…
Model Predictive ControlDeepForge: Leveraging AI for Microstructural Control in Metal Forming via Model Predictive Control
This study presents a novel method for microstructure control in closed die hot forging that combines Model Predictive Control (MPC) with a developed machine learning model called DeepForge. DeepForge uses an architectur…
Model Predictive ControlAn Execution-time-certified Riccati-based IPM Algorithm for RTI-based Input-constrained NMPC
Establishing an execution time certificate in deploying model predictive control (MPC) is a pressing and challenging requirement. As nonlinear MPC (NMPC) results in nonlinear programs, differing from quadratic programs e…
Model Predictive ControlData/moment-driven approaches for fast predictive control of collective dynamics
Feedback control synthesis for large-scale particle systems is reviewed in the framework of model predictive control (MPC). The high-dimensional character of collective dynamics hampers the performance of traditional MPC…
Model Predictive ControlControlling Large Electric Vehicle Charging Stations via User Behavior Modeling and Stochastic Programming
This paper introduces an Electric Vehicle Charging Station (EVCS) model that incorporates real-world constraints, such as slot power limitations, contract threshold overruns penalties, or early disconnections of electric…
Model Predictive ControlRobust Model Predictive Control for nonlinear discrete-time systems using iterative time-varying constraint tightening
Robust Model Predictive Control (MPC) for nonlinear systems is a problem that poses significant challenges as highlighted by the diversity of approaches proposed in the last decades. Often compromises with respect to com…
DiversityModel Predictive ControlAntifragile Perimeter Control: Anticipating and Gaining from Disruptions with Reinforcement Learning
The optimal operation of transportation systems is often susceptible to unexpected disruptions, such as traffic accidents and social events. Many established control strategies relying on mathematical models can struggle…
Deep Reinforcement LearningModel Predictive ControlReinforcement Learning (RL)FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
In coastal river systems, frequent floods, often occurring during major storms or king tides, pose a severe threat to lives and property. However, these floods can be mitigated or even prevented by strategically releasin…
Deep LearningManagementModel Predictive ControlImpact of data for forecasting on performance of model predictive control in buildings with smart energy storage
Data is required to develop forecasting models for use in Model Predictive Control (MPC) schemes in building energy systems. However, data is costly to both collect and exploit. Determining cost optimal data usage strate…
Model Predictive ControlModel Predictive Control Design for Unlocking the Energy Flexibility of Heat Pump and Thermal Energy Storage Systems
Heat pump and thermal energy storage (HPTES) systems, which are widely utilized in modern buildings for providing domestic hot water, contribute to a large share of household electricity consumption. With the increasing …
ManagementModel Predictive ControlSpecifying and Analyzing Networked and Layered Control Systems Operating on Multiple Clocks
We consider the problem of reasoning about networked and layered control systems using assume-guarantee specifications. As these systems are formed by the interconnection of components that operate under various clocks, …
Model Predictive Control