Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Robust Resource-Aware Self-triggered Model Predictive Control
The wide adoption of wireless devices in the Internet of Things requires controllers that are able to operate with limited resources, such as battery life. Operating these devices robustly in an uncertain environment, wh…
modelModel Predictive ControlOnline Learning for Predictive Control with Provable Regret Guarantees
We study the problem of online learning in predictive control of an unknown linear dynamical system with time varying cost functions which are unknown apriori. Specifically, we study the online learning problem where the…
Model Predictive ControlReal-world challenges for multi-agent reinforcement learning in grid-interactive buildings
Building upon prior research that highlighted the need for standardizing environments for building control research, and inspired by recently introduced challenges for real life reinforcement learning control, here we pr…
Model Predictive ControlMulti-agent Reinforcement Learningreinforcement-learningReinforcement Learning+1Data-driven synthesis of Robust Invariant Sets and Controllers
This paper presents a method to identify an uncertain linear time-invariant (LTI) prediction model for tube-based Robust Model Predictive Control (RMPC). The uncertain model is determined from a given state-input dataset…
Model Predictive ControlBatch Model Predictive Control for Selective Laser Melting
Selective laser melting is a promising additive manufacturing technology enabling the fabrication of highly customizable products. A major challenge in selective laser melting is ensuring the quality of produced parts, w…
Model Predictive ControlPerformance bounds of adaptive MPC with bounded parameter uncertainties
Model predictive control is a control approach that minimizes a stage cost over a predicted system trajectory based on a model of the system and is capable of handling state and input constraints. For uncertain models, r…
Model Predictive Controlparameter estimationRelative Distributed Formation and Obstacle Avoidance with Multi-agent Reinforcement Learning
Multi-agent formation as well as obstacle avoidance is one of the most actively studied topics in the field of multi-agent systems. Although some classic controllers like model predictive control (MPC) and fuzzy control …
Model Predictive ControlMulti-agent Reinforcement Learningreinforcement-learningReinforcement Learning+1Eco-Coasting Strategies Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control
Coasting has been widely used in the eco-driving guidelines to reduce fuel consumption by profiting from kinetic energy. However, the comprehensive comparison between different coasting strategies and online performance …
Model Predictive ControlReliably-stabilizing piecewise-affine neural network controllers
A common problem affecting neural network (NN) approximations of model predictive control (MPC) policies is the lack of analytical tools to assess the stability of the closed-loop system under the action of the NN-based …
Model Predictive ControlOptimized adaptive MPC for lateral control of autonomous vehicles
Autonomous vehicles are the upcoming solution to most transportation problems such as safety, comfort, and efficiency. The steering control is one of the main important tasks in achieving autonomous driving. Model predic…
Autonomous DrivingAutonomous VehiclesModel Predictive ControlSteering ControlSystem Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation
We propose a robust model predictive control (MPC) method for discrete-time linear time-invariant systems with norm-bounded additive disturbances and model uncertainty. In our method, at each time step we solve a finite …
Model Predictive ControlModel Predictive Control for a Medium-head Hydropower Plant Hybridized with Battery Energy Storage to Reduce Penstock Fatigue
A hybrid hydropower power plant is a conventional HydroPower Plant (HPP) augmented with a Battery Energy Storage System (BESS) to decrease the wear and tear of sensitive mechanical components and improve the reliability …
Model Predictive ControlA Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
We present a careful comparison of two model-free control algorithms, Evolution Strategies (ES) and Proximal Policy Optimization (PPO), with receding horizon model predictive control (MPC) for operating simulated, price …
CPUmodelModel Predictive ControlTime Series+1Optimization of the Model Predictive Control Meta-Parameters Through Reinforcement Learning
Model predictive control (MPC) is increasingly being considered for control of fast systems and embedded applications. However, the MPC has some significant challenges for such systems. Its high computational complexity …
Model Predictive Controlreinforcement-learningReinforcement Learning (RL)Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications
The rapid growth of renewable energy technology enables the concept of microgrid (MG) to be widely accepted in the power systems. Due to the advantages of the DC distribution system such as easy integration of energy sto…
Model Predictive ControlLearning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions
Large-scale ride-hailing systems often combine real-time routing at the individual request level with a macroscopic Model Predictive Control (MPC) optimization for dynamic pricing and vehicle relocation. The MPC relies o…
Model Predictive ControlSystem Level Disturbance Reachable Sets and their Application to Tube-based MPC
Tube-based model predictive control (MPC) methods leverage tubes to bound deviations from a nominal trajectory due to uncertainties in order to ensure constraint satisfaction. This paper presents a novel tube-based MPC f…
Model Predictive ControlStress-informed Control of Medium- and High-head Hydropower Plants to Reduce Penstock Fatigue
The displacement of conventional generation in favor of stochastic renewable requires increasing regulation duties from the remaining dispatchable resources. In high- and medium-head hydropower plants (HPPs), providing r…
Model Predictive ControlRecurrent Neural Network Training with Convex Loss and Regularization Functions by Extended Kalman Filtering
This paper investigates the use of extended Kalman filtering to train recurrent neural networks with rather general convex loss functions and regularization terms on the network parameters, including $\ell_1$-regularizat…
Model Predictive ControlLoad Restoration in Islanded Microgrids: Formulation and Solution Strategies
Adverse circumstances such as extreme weather events can cause significant disruptions to normal operation of electric distribution systems (DS), which includes isolating parts of the DS due to damaged transmission equip…
Model Predictive Control