Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving
Model Predictive Control (MPC) is attracting tremendous attention in the autonomous driving task as a powerful control technique. The success of an MPC controller strongly depends on an accurate internal dynamics model. …
Autonomous DrivingModel Predictive ControlOptimization and scheduling for a large scale urban transportation system in a fast-changing world
This paper proposes a set of technological solutions to transform existing transport systems into more intelligent, interactive systems by utilizing optimization and control methods that can be implemented in the near fu…
Model Predictive ControlSchedulingForecaster-aided User Association and Load Balancing in Multi-band Mobile Networks
Cellular networks are becoming increasingly heterogeneous with higher base station (BS) densities and ever more frequency bands, making BS selection and band assignment key decisions in terms of rate and coverage. In thi…
Model Predictive ControlReinforcement Learning (RL)Cooperative Distributed MPC via Decentralized Real-Time Optimization: Implementation Results for Robot Formations
Distributed model predictive control (DMPC) is a flexible and scalable feedback control method applicable to a wide range of systems. While the stability analysis of DMPC is quite well understood, there exist only limite…
Model Predictive ControlOccupant-Oriented Demand Response with Multi-Zone Thermal Building Control
In future energy systems with high shares of renewable energy sources, the electricity demand of buildings has to react to the fluctuating electricity generation in view of stability. As buildings consume one-third of gl…
Model Predictive ControlPlanning and Tracking Control of Full Drive-by-Wire Electric Vehicles in Unstructured Scenario
Full drive-by-wire electric vehicles (FDWEV) with X-by-wire technology can achieve independent driving, braking, and steering of each wheel, providing a good application platform for autonomous driving technology. Path p…
Autonomous DrivingModel Predictive ControlLearning-based MPC from Big Data Using Reinforcement Learning
This paper presents an approach for learning Model Predictive Control (MPC) schemes directly from data using Reinforcement Learning (RL) methods. The state-of-the-art learning methods use RL to improve the performance of…
Model Predictive Controlreinforcement-learningReinforcement LearningReinforcement Learning (RL)Learning-Based Model Predictive Control for the Energy Management of Hybrid Electric Vehicles Including Driving Mode Decisions
This paper presents an online-capable controller for the energy management system of a parallel hybrid electric vehicle based on model predictive control. Its task is to minimize the vehicle's fuel consumption along a pr…
energy managementManagementModel Predictive ControlA map-based model predictive control approach for train operation
Trains are a corner stone of public transport and play an important role in daily life. A challenging task in train operation is to avoid skidding and sliding during fast changes of traction conditions, which can, for ex…
Model Predictive ControlCost-minimization predictive energy management of a postal-delivery fuel cell electric vehicle with intelligent battery State-of-Charge Planner
Fuel cell electric vehicles have earned substantial attentions in recent decades due to their high-efficiency and zero-emission features, while the high operating costs remain the major barrier towards their large-scale …
energy managementManagementModel Predictive ControlDeep Reinforcement Learning for Heat Pump Control
Heating in private households is a major contributor to the emissions generated today. Heat pumps are a promising alternative for heat generation and are a key technology in achieving our goals of the German energy trans…
Deep Reinforcement LearningModel Predictive Controlreinforcement-learningReinforcement Learning+1Set Membership based Nonlinear Model Predictive Control
We present a numerically efficient Nonlinear Model Predictive Control (NMPC) approach, called Set Membership based NMPC (SM-NMPC). In particular, a Set Membership method is used to derive from data an approximation and t…
modelModel Predictive ControlInteraction-Aware Motion Planning for Autonomous Vehicles with Multi-Modal Obstacle Uncertainty Predictions
This paper proposes an interaction and safety-aware motion-planning method for an autonomous vehicle in uncertain multi-vehicle traffic environments. The method integrates the ability of the interaction-aware interacting…
Autonomous VehiclesCollision AvoidanceModel Predictive ControlMotion Planning+1Frenet-Cartesian Model Representations for Automotive Obstacle Avoidance within Nonlinear MPC
In recent years, nonlinear model predictive control (NMPC) has been extensively used for solving automotive motion control and planning tasks. In order to formulate the NMPC problem, different coordinate systems can be u…
Collision AvoidanceModel Predictive ControlStandoff Tracking Using DNN-Based MPC with Implementation on FPGA
This work studies the standoff tracking problem to drive an unmanned aerial vehicle (UAV) to slide on a desired circle over a moving target at a constant height. We propose a novel Lyapunov guidance vector (LGV) field wi…
Model Predictive ControlTrajectory PlanningvalidModeling and Predictive Control for the Treatment of Hyperthyroidism
In this work, we propose an approach to determine the dosages of antithyroid agents to treat hyperthyroid patients. Instead of relying on a trial-and-error approach as it is commonly done in clinical practice, we suggest…
Model Predictive ControlModel Predictive Control for Neuromimetic Quantized Systems
Based on our recent research on neural heuristic quantization systems, we propose an emulation problem consistent with the neuromimetic paradigm. This optimal quantization problem can be solved with model predictive cont…
modelModel Predictive ControlQuantizationAutonomous driving using GA-optimized neural network based adaptive LPV-MPC controller
Autonomous vehicles are complex systems that operate in dynamic environments, where automated driving seeks to control the coupled longitudinal and lateral vehicle dynamics to follow a certain behavior. Model predictive …
Autonomous DrivingAutonomous VehiclesModel Predictive ControlComparing Approaches to Distributed Control of Fluid Systems based on Multi-Agent Systems
Conventional control of fluid systems does not consider system-wide knowledge for optimising energy efficient operation. Distributed control of fluid systems combines reliable local control of components while using syst…
Deep Reinforcement LearningModel Predictive ControlA Predictive Operation Controller for an Electro-Thermal Microgrid Utilizing Variable Flow Temperatures
We propose an optimal operation control strategy for an electro-thermal microgrid. Compared to existing work, our approach increases flexibility by operating the thermal network with variable flow temperatures and in tha…
Model Predictive Control