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Model Predictive Control

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Showing 901–950 of 1582 papers

TitleStatusHype
Variable Time-Step MPC for Agile Multi-Rotor UAV Interception of Dynamic Targets—0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Variational Inference MPC using Normalizing Flows and Out-of-Distribution Projection—0
Variational Inference MPC using Tsallis Divergence—0
Verification and Validation of Convex Optimization Algorithms for Model Predictive Control—0
V-Formation via Model Predictive Control—0
Voltage Regulation in Polymer Electrolyte Fuel Cell Systems Using Gaussian Process Model Predictive Control—0
Voltage Restoration in MVDC Shipboard Microgrids with Economic Nonlinear Model Predictive Control—0
Vulnerability of Building Energy Management against Targeted False Data Injection Attacks:Model Predictive Control vs. Proportional Integral—0
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents—0
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?—0
When Your Robot Breaks: Active Learning During Plant Failure—0
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians—0
Which price to pay? Auto-tuning building MPC controller for optimal economic cost—0
YANNs: Y-wise Affine Neural Networks for Exact and Efficient Representations of Piecewise Linear Functions—0
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos—0
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos—0
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System—0
Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments—0
Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects—0
Learning Model-Based Vehicle-Relocation Decisions for Real-Time Ride-Sharing: Hybridizing Learning and Optimization—0
Learning Model Predictive Control for Iterative Tasks: A Computationally Efficient Approach for Linear System—0
Learning Model Predictive Control for iterative tasks. A Data-Driven Control Framework—0
Learning Model Predictive Control for Competitive Autonomous Racing—0
Learning Model Predictive Controllers for Real-Time Ride-Hailing Vehicle Relocation and Pricing Decisions—0
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation—0
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging—0
Learning Predictive Models for Ergonomic Control of Prosthetic Devices—0
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set—0
Learning Residual Model of Model Predictive Control via Random Forests for Autonomous Driving—0
Learning Robust Model Predictive Control for Voltage Control of Islanded Microgrid—0
Learning Sampling Distributions for Model Predictive Control—0
Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees—0
Learning Solution Manifolds for Control Problems via Energy Minimization—0
Learning solutions to hybrid control problems using Benders cuts—0
Learning Stability Attention in Vision-based End-to-end Driving Policies—0
Learning Stochastic Parametric Differentiable Predictive Control Policies—0
Learning supported Model Predictive Control for Tracking of Periodic References—0
Learning the cost-to-go for mixed-integer nonlinear model predictive control—0
Learning to Charge RF-Energy Harvesting Devices in WiFi Networks—0
Learning to Operate an Electric Vehicle Charging Station Considering Vehicle-grid Integration—0
Learning to Optimize in Model Predictive Control—0
Learning to Drift in Extreme Turning with Active Exploration and Gaussian Process Based MPC—0
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information—0
Learning to Solve Parametric Mixed-Integer Optimal Control Problems via Differentiable Predictive Control—0
Learning When to Drive in Intersections by Combining Reinforcement Learning and Model Predictive Control—0
Learn Proportional Derivative Controllable Latent Space from Pixels—0
Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control—0
Lessons Learned from Data-Driven Building Control Experiments: Contrasting Gaussian Process-based MPC, Bilevel DeePC, and Deep Reinforcement Learning—0
Leveraging Reinforcement Learning and Koopman Theory for Enhanced Model Predictive Control Performance—0
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