Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Model predictive control of wakes for wind farm power tracking
In this paper, a model predictive control scheme for wind farms is presented. Our approach considers wake dynamics including their influence on local wind conditions and allows to track a given power reference. In detail…
Model Predictive ControlEfficient Data-Driven MPC for Demand Response of Commercial Buildings
Model predictive control (MPC) has been shown to significantly improve the energy efficiency of buildings while maintaining thermal comfort. Data-driven approaches based on neural networks have been proposed to facilitat…
energy managementModel Predictive ControlProto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds
Quadrotors are increasingly used in the evolving field of aerial robotics for their agility and mechanical simplicity. However, inherent uncertainties, such as aerodynamic effects coupled with quadrotors' operation in dy…
DecoderMeta-LearningModel Predictive ControlNeuromorphic quadratic programming for efficient and scalable model predictive control
Applications in robotics or other size-, weight- and power-constrained autonomous systems at the edge often require real-time and low-energy solutions to large optimization problems. Event-based and memory-integrated neu…
Model Predictive ControlLearning Local Control Barrier Functions for Hybrid Systems
Hybrid dynamical systems are ubiquitous as practical robotic applications often involve both continuous states and discrete switchings. Safety is a primary concern for hybrid robotic systems. Existing safety-critical con…
Autonomous RacingModel Predictive ControlOn Building Myopic MPC Policies using Supervised Learning
The application of supervised learning techniques in combination with model predictive control (MPC) has recently generated significant interest, particularly in the area of approximate explicit MPC, where function appro…
Data AugmentationModel Predictive ControlLearning the cost-to-go for mixed-integer nonlinear model predictive control
Application of nonlinear model predictive control (NMPC) to problems with hybrid dynamical systems, disjoint constraints, or discrete controls often results in mixed-integer formulations with both continuous and discrete…
Model Predictive ControlPredictionModel Predictive Approach for Detumbling an Underactuated Satellite
This research proposes an innovative approach to detumble satellites' triple-axis angular velocities with only one single-axis magnetic torquer. Since magnetic torque is generated perpendicularly to magnetorquers, no int…
modelModel Predictive ControlPulse Width Modulation Method Applied to Nonlinear Model Predictive Control on an Under-actuated Small Satellite
Among various satellite actuators, magnetic torquers have been widely equipped for stabilization and attitude control of small satellites. Although magnetorquers are generally used with other actuators, such as momentum …
continuous-controlContinuous ControlModel Predictive ControlDistributed Traffic Signal Control of Interconnected Intersections: A Two-Lane Traffic Network Model
Practical and accurate traffic models play an important role in capturing real traffic dynamics and then in achieving effective control performance. This paper studies traffic signal control in a traffic network with mul…
Model Predictive ControlTraffic Signal ControlPredictive stability filters for nonlinear dynamical systems affected by disturbances
Predictive safety filters provide a way of projecting potentially unsafe inputs, proposed, e.g. by a human or learning-based controller, onto the set of inputs that guarantee recursive state and input constraint satisfac…
Model Predictive ControlA Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning
Distributed model predictive control (MPC) is currently being investigated as a solution to the important control challenge presented by networks of hybrid dynamical systems. However, a benchmark problem for distributed …
Autonomous VehiclesModel Predictive ControlReceding Horizon Games for Modeling Competitive Supply Chains
The vast majority of products we use daily are supplied to us through complex global supply chains that transform raw materials into finished goods and distribute them to end consumers. This paper proposes a modeling met…
Model Predictive ControlReal-Time Dynamic Layout Optimization for Floating Offshore Wind Farm Control
Downstream wind turbines operating behind upstream turbines face significant performance challenges due to reduced wind speeds and increased turbulence. This leads to decreased wind energy production and higher dynamic l…
Model Predictive ControlPoint TrackingInput Convex Lipschitz RNN: A Fast and Robust Approach for Engineering Tasks
Computational efficiency and robustness are essential in process modeling, optimization, and control for real-world engineering applications. While neural network-based approaches have gained significant attention in rec…
Chemical ProcessComputational EfficiencyModel Predictive ControlNon-Adversarial Robustness+1Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
Model Predictive Control (MPC) can be applied to safety-critical control problems, providing closed-loop safety and performance guarantees. Implementation of MPC controllers requires solving an optimization problem at ev…
Model Predictive ControlCoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design
Sampling-based Model Predictive Control (MPC) has been a practical and effective approach in many domains, notably model-based reinforcement learning, thanks to its flexibility and parallelizability. Despite its appealin…
Model-based Reinforcement LearningModel Predictive ControlA hierarchical control framework for autonomous decision-making systems: Integrating HMDP and MPC
This paper proposes a comprehensive hierarchical control framework for autonomous decision-making arising in robotics and autonomous systems. In a typical hierarchical control architecture, high-level decision making is …
Decision MakingModel Predictive ControlLMI-based robust model predictive control for a quarter car with series active variable geometry suspension
This paper proposes a robust model predictive control-based solution for the recently introduced series active variable geometry suspension (SAVGS) to improve the ride comfort and road holding of a quarter car. In order …
Model Predictive ControlReal-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation
The autonomous driving industry is continuously dealing with safety-critical scenarios, and nonlinear model predictive control (NMPC) is a powerful control strategy for handling such situations. However, standard safety …
Autonomous DrivingModel Predictive Control