Papers Model Predictive Control
“Model Predictive Control” 태그가 달린 논문 1,582편 · 필터 해제
Model predictive control strategy in waked wind farms for optimal fatigue loads
With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to the wake interaction of the wind turbine…
Model Predictive ControlThermal-aware Workload Distribution for Data Centers with Demand Variations
Thermal-aware workload distribution is a common approach in the literature for power consumption optimization in data centers. However, data centers also have other operational costs such as the cost of equipment mainten…
Model Predictive ControlInteraction-Aware Trajectory Prediction and Planning in Dense Highway Traffic using Distributed Model Predictive Control
In this paper we treat optimal trajectory planning for an autonomous vehicle (AV) operating in dense traffic, where vehicles closely interact with each other. To tackle this problem, we present a novel framework that cou…
Model Predictive ControlPredictionTrajectory PlanningTrajectory PredictionIdentifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
The driving style of an Autonomous Vehicle (AV) refers to how it behaves and interacts with other AVs. In a multi-vehicle autonomous driving system, an AV capable of identifying the driving styles of its nearby AVs can r…
Autonomous DrivingModel Predictive ControlOptimal Closed Loop Control of G2V/V2G Action Using Model Predictive Controller
This paper has developed a closed-loop control algorithm to operate the G2V/V2G action, tested under varying battery voltage conditions and load and source power differences. Under V2G action, to maintain total harmonic …
Model Predictive ControlHyperSNN: A new efficient and robust deep learning model for resource constrained control applications
In light of the increasing adoption of edge computing in areas such as intelligent furniture, robotics, and smart homes, this paper introduces HyperSNN, an innovative method for control tasks that uses spiking neural net…
AcrobotEdge-computingModel Predictive ControlModel predictive control with dynamic move blocking
Model Predictive Control (MPC) has proven to be a powerful tool for the control of systems with constraints. Nonetheless, in many applications, a major challenge arises, that is finding the optimal solution within a sing…
BlockingmodelModel Predictive ControlTrajectory Generation and Tracking based on Energy Minimization for a Four-Link Brachiation Robot
Aiming to mimic the brachiation locomotion of primates, we establish a brachiation robot model capable of swinging between different bars. The robot's design is based on a four-link underactuated structure. We propose an…
Model Predictive ControlOutput-feedback adaptive model predictive control for ramp metering: a set-membership approach
Ramp metering, which regulates the flow entering the freeway, is one of the most effective freeway traffic control methods. This paper introduces an output-feedback adaptive approach to ramp metering that combines model …
Model Predictive ControlState EstimationData-driven robust MPC of tiltwing VTOL aircraft
This paper investigates robust tube-based Model Predictive Control (MPC) of a tiltwing Vertical Take-Off and Landing (VTOL) aircraft subject to wind disturbances and model uncertainty. Our approach is based on a Differen…
Model Predictive ControlControl-aware echo state networks (Ca-ESN) for the suppression of extreme events
Extreme event are sudden large-amplitude changes in the state or observables of chaotic nonlinear systems, which characterize many scientific phenomena. Because of their violent nature, extreme events typically have adve…
Model Predictive ControlAn Add-on Model Predictive Control Strategy for the Energy Management of Hybrid Electric Tractors
The hybridization process has recently touched also the world of agricultural vehicles. Within this context, we develop an Energy Management Strategy (EMS) aiming at optimizing fuel consumption, while maintaining the bat…
energy managementManagementModel Predictive ControlEnd-to-End Reinforcement Learning of Koopman Models for Economic Nonlinear Model Predictive Control
(Economic) nonlinear model predictive control ((e)NMPC) requires dynamic models that are sufficiently accurate and computationally tractable. Data-driven surrogate models for mechanistic models can reduce the computation…
Model Predictive Controlreinforcement-learningReinforcement LearningA Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles
This work addresses the ecological-adaptive cruise control problem for connected electric vehicles by a computationally efficient robust control strategy. The problem is formulated in the space-domain with a realistic de…
Computational EfficiencyModel Predictive ControlA Model Predictive Approach for Enhancing Transient Stability of Grid-Forming Converters
A model predictive control (MPC) method for enhancing post-fault transient stability of a grid-forming (GFM) inverter based resources (IBRs) is developed in this paper. This proposed controller is activated as soon as th…
Model Predictive ControlModel predictive control for the prescription of antithyroid agents
Although hyperthyroidism is a common disease, the pharmaceutical therapy is based on a trial-and-error approach. We extend a mathematical model of the pituitary-thyroid feedback loop such that the intake of one antithyro…
Model Predictive ControlTrust-aware Safe Control for Autonomous Navigation: Estimation of System-to-human Trust for Trust-adaptive Control Barrier Functions
A trust-aware safe control system for autonomous navigation in the presence of humans, specifically pedestrians, is presented. The system combines model predictive control (MPC) with control barrier functions (CBFs) and …
Autonomous NavigationModel Predictive ControlModel Predictive Control (MPC) of an Artificial Pancreas with Data-Driven Learning of Multi-Step-Ahead Blood Glucose Predictors
We present the design and \textit{in-silico} evaluation of a closed-loop insulin delivery algorithm to treat type 1 diabetes (T1D) consisting in a data-driven multi-step-ahead blood glucose (BG) predictor integrated into…
Model Predictive ControlData-driven dual-loop control for platooning mixed human-driven and automated vehicles
This paper considers controlling automated vehicles (AVs) to form a platoon with human-driven vehicles (HVs) under consideration of unknown HV model parameters and propulsion time constants. The proposed design is a data…
Model Predictive ControlDifferentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter
Learning-based optimal control algorithms control unknown systems using past trajectory data and a learned model of the system dynamics. These controllers use either a linear approximation of the learned dynamics, tradin…
Computational EfficiencyModel Predictive Control