Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
A Privacy-Preserving Framework for Cloud-Based HVAC Control
The objective of this work is (i) to develop an encrypted cloud-based HVAC control framework to ensure the privacy of occupancy information, (ii) to reduce the communication and computation costs of encrypted HVAC contro…
Model Predictive ControlPrivacy PreservingMulti-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
This paper presents a novel approach to multi-agent reinforcement learning (RL) for linear systems with convex polytopic constraints. Existing work on RL has demonstrated the use of model predictive control (MPC) as a fu…
Model Predictive ControlMulti-agent Reinforcement LearningQ-Learningreinforcement-learning+1MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
In this paper, we introduce a new class of parameterized controllers, drawing inspiration from Model Predictive Control (MPC). The controller resembles a Quadratic Programming (QP) solver of a linear MPC problem, with th…
Deep Reinforcement LearningModel Predictive Controlreinforcement-learningReinforcement LearningSafety-Enhanced Self-Learning for Optimal Power Converter Control
Data-driven learning-based control methods such as reinforcement learning (RL) have become increasingly popular with recent proliferation of the machine learning paradigm. These methods address the parameter sensitivenes…
Model Predictive ControlReinforcement Learning (RL)Self-LearningImproving the Load Flexibility of Stratified Electric Water Heaters: Design and Experimental Validation of MPC Strategies
Residential electric water heaters have significant load shifting capabilities due to their thermal heat capacity and large energy consumption. Model predictive control (MPC) has been shown to be an effective control str…
energy managementModel Predictive ControlDemand response for residential building heating: Effective Monte Carlo Tree Search control based on physics-informed neural networks
To reduce global carbon emissions and limit climate change, controlling energy consumption in buildings is an important piece of the puzzle. Here, we specifically focus on using a demand response (DR) algorithm to limit …
Board GamesModel Predictive ControlReinforcement Learning (RL)Nonlinear Model Predictive Control for Navy Microgrids with Stabilizing Terminal Ingredients
This paper presents a novel control strategy for medium voltage DC (MVDC) naval shipboard microgrids (MGs), employing a nonlinear model predictive controller (NMPC) enhanced with stabilizing features and an intricate dro…
energy managementManagementModel Predictive ControlVoltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control
Future Naval Microgrids (MGs) will include hybrid energy storage systems (ESS), including battery and supercapacitors to respond to emerging constant power loads (CPLs) and fluctuating pulsed power loads (PPLs). Voltage …
Model Predictive ControlVulnerability of Building Energy Management against Targeted False Data Injection Attacks:Model Predictive Control vs. Proportional Integral
Cybersecurity in building energy management is crucial for protecting infrastructure, ensuring data integrity, and preventing unauthorized access or manipulation. This paper investigates the energy efficiency and cyberse…
energy managementManagementModel Predictive ControlH-GAP: Humanoid Control with a Generalist Planner
Humanoid control is an important research challenge offering avenues for integration into human-centric infrastructures and enabling physics-driven humanoid animations. The daunting challenges in this field stem from the…
Humanoid ControlModel Predictive ControlOffline RLGeometric Data-Driven Dimensionality Reduction in MPC with Guarantees
We address the challenge of dimension reduction in the discrete-time optimal control problem which is solved repeatedly online within the framework of model predictive control. Our study demonstrates that a reduced-order…
Dimensionality ReductionModel Predictive ControlLearning a convex cost-to-go for single step model predictive control
For large uncertain systems, solving model predictive control problems online can be computationally taxing. Using a shorter prediction horizon can help, but may lead to poor performance and instability without appropria…
Model Predictive ControlHandling nonlinearities and uncertainties of fed-batch cultivations with difference of convex functions tube MPC
Bioprocesses are often characterized by nonlinear and uncertain dynamics. This poses particular challenges in the context of model predictive control (MPC). Several approaches have been proposed to solve this problem, su…
Model Predictive ControlControl of complex systems with generalized embedding and empirical dynamic modeling
Effective control requires knowledge of the process dynamics to guide the system toward desired states. In many control applications this knowledge is expressed mathematically or through data-driven models, however, as c…
Model Predictive ControlLane-Keeping Control of Autonomous Vehicles Through a Soft-Constrained Iterative LQR
The accurate prediction of smooth steering inputs is crucial for automotive applications because control actions with jitter might cause the vehicle system to become unstable. To address this problem in automobile lane-k…
Autonomous DrivingAutonomous VehiclesFrictionModel Predictive ControlEmpowering Autonomous Driving with Large Language Models: A Safety Perspective
Autonomous Driving (AD) encounters significant safety hurdles in long-tail unforeseen driving scenarios, largely stemming from the non-interpretability and poor generalization of the deep neural networks within the AD sy…
Autonomous DrivingAutonomous VehiclesCommon Sense ReasoningModel Predictive ControlAutomated Lane Merging via Game Theory and Branch Model Predictive Control
We propose an integrated behavior and motion planning framework for the lane-merging problem. The behavior planner combines search-based planning with game theory to model vehicle interactions and plan multi-vehicle traj…
Computational EfficiencyModel Predictive ControlMotion PlanningSequencing-enabled Hierarchical Cooperative CAV On-ramp Merging Control with Enhanced Stability and Feasibility
This paper develops a sequencing-enabled hierarchical connected automated vehicle (CAV) cooperative on-ramp merging control framework. The proposed framework consists of a two-layer design: the upper level control sequen…
Model Predictive ControlEnhancing Microgrid Resilience with Green Hydrogen Storage
We consider the problem of hydrogen storage integration in microgrids to improve the electricity supply resilience. Nonlinear effects from electrochemical models of electrolyzers and fuel cells for hydrogen storage are c…
Model Predictive ControlSchedulingReinforcement Learning with Model Predictive Control for Highway Ramp Metering
In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to enhance traffic flow management…
Model-based Reinforcement LearningModel Predictive Controlreinforcement-learningReinforcement Learning+1