Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
NMPC and Deep Learning-Based Vibration Control of Satellite Beam Antenna Dynamics Using PZT Actuators and Sensors
This paper presents a novel approach for vibration control of satellite-based flexible beam-type antennas using Nonlinear Model Predictive Control (NMPC) and Deep Learning techniques. The developed control system leverag…
Deep LearningModel Predictive ControlA Traffic Adapative Physics-informed Learning Control for Energy Savings of Connected and Automated Vehicles
Model predictive control has emerged as an effective approach for real-time optimal control of connected and automated vehicles. However, nonlinear dynamics of vehicle and traffic systems make accurate modeling and real-…
Model Predictive ControlHigh-Accuracy Model Predictive Control with Inverse Hysteresis for High-Speed Trajectory Tracking of Piezoelectric Fast Steering Mirror
Piezoelectric fast steering mirrors (PFSM) are widely utilized in beam precision-pointing systems but encounter considerable challenges in achieving high-precision tracking of fast trajectories due to nonlinear hysteresi…
Model Predictive ControlHarvesting energy from turbulent winds with Reinforcement Learning
Airborne Wind Energy (AWE) is an emerging technology designed to harness the power of high-altitude winds, offering a solution to several limitations of conventional wind turbines. AWE is based on flying devices (usually…
Model Predictive Controlreinforcement-learningReinforcement LearningReinforcement Learning (RL)Adaptive Economic Model Predictive Control: Performance Guarantees for Nonlinear Systems
We consider the problem of optimizing the economic performance of nonlinear constrained systems subject to uncertain time-varying parameters and bounded disturbances. In particular, we propose an adaptive economic model …
Model Predictive ControlEconomic MPC with an Online Reference Trajectory for Battery Scheduling Considering Demand Charge Management
Monthly demand charges form a significant portion of the electric bill for microgrids with variable renewable energy generation. A battery energy storage system (BESS) is commonly used to manage these demand charges. Eco…
ManagementModel Predictive ControlSchedulingDisturbance-Adaptive Data-Driven Predictive Control: Trading Comfort Violations for Savings in Building Climate Control
Model Predictive Control (MPC) has demonstrated significant potential in improving energy efficiency in building climate control, outperforming traditional controllers commonly used in modern building management systems.…
Conformal PredictionLEMMAModel Predictive ControlOpen-Loop and Model Predictive Control for Electric Vehicle Charging to Manage Excess Renewable Energy Supply in Texas
Modern power grids are evolving to become more interconnected, include more electric vehicles (EVs), and utilize more renewable energy sources (RES). Increased interconnectivity provides an opportunity to manage EVs and …
Model Predictive ControlToward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
Achieving global optimality in nonlinear model predictive control (NMPC) is challenging due to the non-convex nature of the underlying optimization problem. Since commonly employed local optimization techniques depend on…
Model Predictive ControlOffset-free model predictive control: stability under plant-model mismatch
We present the first general stability results for nonlinear offset-free model predictive control (MPC). Despite over twenty years of active research, the offset-free MPC literature has not shaken the assumption of close…
modelModel Predictive ControlA Distributed Deep Koopman Learning Algorithm for Control
This paper proposes a distributed data-driven framework to address the challenge of dynamics learning from a large amount of training data for optimal control purposes, named distributed deep Koopman learning for control…
Model Predictive ControlInput-to-State Stability of Newton Methods in Nash Equilibrium Problems with Applications to Game-Theoretic Model Predictive Control
We prove input-to-state stability (ISS) of perturbed Newton methods for generalized equations arising from Nash equilibrium (NE) and generalized NE (GNE) problems. This ISS property allows the use of inexact computation …
Model Predictive ControlGeomagnetic and Inertial Combined Navigation Approach Based on Flexible Correction-Model Predictive Control Algorithm
This paper proposes a geomagnetic and inertial combined navigation approach based on the flexible correction-model predictive control algorithm (Fc-MPC). This approach aims to overcome the limitations of existing combine…
Model Predictive ControlM$^3$PC: Test-time Model Predictive Control for Pretrained Masked Trajectory Model
Recent work in Offline Reinforcement Learning (RL) has shown that a unified Transformer trained under a masked auto-encoding objective can effectively capture the relationships between different modalities (e.g., states,…
D4RLmodelModel Predictive ControlReinforcement Learning (RL)Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach
Autonomous driving heavily relies on perception systems to interpret the environment for decision-making. To enhance robustness in these safety critical applications, this paper considers a Deep Ensemble of Deep Neural N…
Autonomous DrivingConformal PredictionDecision MakingModel Predictive ControlAdaptive Model Predictive Control for Differential-Algebraic Systems towards a Higher Path Accuracy for Physically Coupled Robots
The physical coupling between robots has the potential to improve the capabilities of multi-robot systems in challenging manufacturing processes. However, the path tracking accuracy of physically coupled robots is not st…
Model Predictive ControlRobust Model Predictive Control for Constrained Uncertain Systems Based on Concentric Container and Varying Tube
This paper proposes a novel robust model predictive control (RMPC) method for the stabilization of constrained systems subject to additive disturbance (AD) and multiplicative disturbance (MD). Concentric containers are i…
Model Predictive ControlModularized Neural Network Incorporating Physical Priors for Smart Building Control, Accuracy or Consistency?
Model predictive control can achieve significant energy savings, offer grid flexibility, and mitigate carbon emissions. However, the challenge of identifying individual control-oriented building dynamic models limits lar…
Model Predictive ControlTime-Series-Informed Closed-loop Learning for Sequential Decision Making and Control
Closed-loop performance of sequential decision making algorithms, such as model predictive control, depends strongly on the parameters of cost functions, models, and constraints. Bayesian optimization is a common approac…
Bayesian OptimizationDecision MakingModel Predictive ControlSequential Decision Making+1Physics-informed Gaussian Processes as Linear Model Predictive Controller
We introduce a novel algorithm for controlling linear time invariant systems in a tracking problem. The controller is based on a Gaussian Process (GP) whose realizations satisfy a system of linear ordinary differential e…
Bayesian InferenceGaussian ProcessesModel Predictive Control