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Model Predictive Control

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Showing 1501–1550 of 1582 papers

TitleStatusHype
Atmospheric Density-Compensating Model Predictive Control for Targeted Reentry of Drag-Modulated Spacecraft—0
A Traffic Adapative Physics-informed Learning Control for Energy Savings of Connected and Automated Vehicles—0
A Tutorial on Gaussian Process Learning-based Model Predictive Control—0
A tutorial overview of model predictive control for continuous crystallization: current possibilities and future perspectives—0
A Two-phase On-line Joint Scheduling for Welfare Maximization of Charging Station—0
A Unified Framework for Online Data-Driven Predictive Control with Robust Safety Guarantees—0
A Unifying Complexity-Certification Framework for Branch-and-Bound Algorithms for Mixed-Integer Linear and Quadratic Programming—0
Autoencoder-Based and Physically Motivated Koopman Lifted States for Wind Farm MPC: A Comparative Case Study—0
Automated Multi-Drugs Administration During Total Intravenous Anesthesia Using Multi-Model Predictive Control—0
Automated Vehicle Highway Merging: Motion Planning via Adaptive Interactive Mixed-Integer MPC—0
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics—0
Automatic digital twin data model generation of building energy systems from piping and instrumentation diagrams—0
Automatic parking planning control method based on improved A* algorithm—0
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing—0
Autonomous and Resilient Control for Optimal LEO Satellite Constellation Coverage Against Space Threats—0
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models—0
Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control—0
Autonomous Racing using Learning Model Predictive Control—0
Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Backup Plan Constrained Model Predictive Control—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
Balancing Operators Risk Averseness in Model Predictive Control for Real-time Reservoir Flood Control—0
Balancing Passenger Transport and Power Distribution: A Distributed Dispatch Policy for Shared Autonomous Electric Vehicles—0
Batch Model Predictive Control for Selective Laser Melting—0
Bayesian Learning Approach to Model Predictive Control—0
Bayesian LSTM for indoor temperature modeling—0
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling—0
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty—0
Behavior Planning of Autonomous Cars with Social Perception—0
Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines—0
Beyond Quadratic Costs in LQR: Bregman Divergence Control—0
Bias Correction in Deterministic Policy Gradient Using Robust MPC—0
Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market—0
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic—0
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation—0
Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization—0
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning—0
Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process—0
Bounding the difference between model predictive control and neural networks—0
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models—0
Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
Causal, Stochastic MPC for Wave Energy Converters—0
Causal Tracking of Distributions in Wasserstein Space: A Model Predictive Control Scheme—0
Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes—0
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars—0
CAV Traffic Control to Mitigate the Impact of Congestion from Bottlenecks: A Linear Quadratic Regulator Approach and Microsimulation Study—0
Certified machine learning: A posteriori error estimation for physics-informed neural networks—0
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