Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-II: Intra-day and Experimental Validation
In Part-I, we presented an optimal day-ahead scheduling scheme for dispatching active distribution networks accounting for the flexibility provided by electric vehicle charging stations (EVCSs) and other controllable res…
Model Predictive ControlSchedulingGrid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-I: Day-ahead and Numerical Validation
This paper proposes a grid-aware scheduling and control framework for Electric Vehicle Charging Stations (EVCSs) for dispatching the operation of an active power distribution network. The framework consists of two stages…
Model Predictive ControlSchedulingMapping back and forth between model predictive control and neural networks
Model predictive control (MPC) for linear systems with quadratic costs and linear constraints is shown to admit an exact representation as an implicit neural network. A method to "unravel" the implicit neural network of …
Model Predictive ControlMPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models
In this paper, we consider the problem of reference tracking in uncertain nonlinear systems. A neural State-Space Model (NSSM) is used to approximate the nonlinear system, where a deep encoder network learns the nonlinea…
Meta-LearningModel Predictive ControlEfficient Batch and Recursive Least Squares for Matrix Parameter Estimation
Traditionally, batch least squares (BLS) and recursive least squares (RLS) are used for identification of a vector of parameters that form a linear model. In some situations, however, it is of interest to identify parame…
Model Predictive Controlparameter estimationNonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control
The accuracy of the underlying model predictions is crucial for the success of model predictive control (MPC) applications. If the model is unable to accurately analyze the dynamics of the controlled system, the performa…
Model Predictive ControlVariational InferenceThe Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study
Satisfying safety constraints is a priority concern when solving optimal control problems (OCPs). Due to the existence of infeasibility phenomenon, where a constraint-satisfying solution cannot be found, it is necessary …
Model Predictive Controlreinforcement-learningReinforcement Learning (RL)Disturbance feedback-based model predictive control in uncertain dynamic environments
This paper presents a robust MPC scheme for linear systems subject to time-varying, uncertain constraints that arise from uncertain environments. The predicted input sequence is parameterized over future environment stat…
Model Predictive ControlMPC using mixed-integer programming for aquifer thermal energy storages
Aquifer thermal energy storages (ATES) are used to temporally store thermal energy in groundwater saturated aquifers. Typically, two storages are combined, one for heat and one for cold, to support heating and cooling of…
Model Predictive ControlMPC Based Linear Equivalence with Control Barrier Functions for VTOL-UAVs
In this work, we propose a cascaded scheme of linear Model prediction Control (MPC) based on Control Barrier Functions (CBF) with Dynamic Feedback Linearization (DFL) for Vertical Take-off and Landing (VTOL) Unmanned Aer…
Model Predictive ControlA Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks
This paper presents a Model Predictive Control (MPC) scheme for flight scheduling and energy management of electric aviation networks, where electric aircraft transport passengers between electrified airports equipped wi…
energy managementManagementModel Predictive ControlSchedulingIntention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion
This paper develops a correct-by-design controller for an autonomous vehicle interacting with opponent vehicles with unknown intentions. We define an intention-aware control problem incorporating epistemic uncertainties …
Autonomous DrivingModel Predictive ControlNumerical Discretization Methods for Linear Quadratic Control Problems with Time Delays
This paper presents the numerical discretization methods of the continuous-time linear-quadratic optimal control problems (LQ-OCPs) with time delays. We describe the weight matrices of the LQ-OCPs as differential equatio…
Model Predictive ControlEnhancing Safety in Mixed Traffic: Learning-Based Modeling and Efficient Control of Autonomous and Human-Driven Vehicles
With the increasing presence of autonomous vehicles (AVs) on public roads, developing robust control strategies to navigate the uncertainty of human-driven vehicles (HVs) is crucial. This paper introduces an advanced met…
Autonomous VehiclesModel Predictive ControlNavigateLearning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
Tuning parameters in model predictive control (MPC) presents significant challenges, particularly when there is a notable discrepancy between the controller's predictions and the actual behavior of the closed-loop plant.…
Bayesian OptimizationModel Predictive ControlParameter-Adaptive Approximate MPC: Tuning Neural-Network Controllers without Retraining
Model Predictive Control (MPC) is a method to control nonlinear systems with guaranteed stability and constraint satisfaction but suffers from high computation times. Approximate MPC (AMPC) with neural networks (NNs) has…
Model Predictive ControlModel Predictive Control based Energy Management System for Home Energy Resiliency
As the occurrence of extreme weather events is increasing so are the outages caused by them. During such unplanned outages, a house needs to be provided with an energy supply to maintain habitable conditions by maintaini…
energy managementManagementModel Predictive ControlStability Mechanisms for Predictive Safety Filters
Predictive safety filters enable the integration of potentially unsafe learning-based control approaches and humans into safety-critical systems. In addition to simple constraint satisfaction, many control problems invol…
Model Predictive ControlContouring Error Bounded Control for Biaxial Switched Linear Systems
Biaxial motion control systems are used extensively in manufacturing and printing industries. To improve throughput and reduce machine cost, lightweight materials are being proposed in structural components but may resul…
Model Predictive ControlPositionConvex MPC and Thrust Allocation with Deadband for Spacecraft Rendezvous
This paper delves into a rendezvous scenario involving a chaser and a target spacecraft, focusing on the application of Model Predictive Control (MPC) to design a controller capable of guiding the chaser toward the targe…
Model Predictive Control