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Model Predictive Control

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Showing 251–300 of 1582 papers

TitleStatusHype
Actively Learning Reinforcement Learning: A Stochastic Optimal Control ApproachCode0
Data-driven Control of T-Product-based Dynamical SystemsCode0
A Neural-Network-Based Model Predictive Control of Three-Phase Inverter With an Output LC FilterCode0
Configuration-Constrained Tube MPC for TrackingCode0
Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic SpecificationsCode0
Convex neural network synthesis for robustness in the 1-normCode0
Learning Flatness-Preserving Residuals for Pure-Feedback SystemsCode0
Cautious NMPC with Gaussian Process Dynamics for Autonomous Miniature Race Cars—0
Cautious Bayesian MPC: Regret Analysis and Bounds on the Number of Unsafe Learning Episodes—0
Causal Tracking of Distributions in Wasserstein Space: A Model Predictive Control Scheme—0
Causal, Stochastic MPC for Wave Energy Converters—0
An Efficient Resilient MPC Scheme via Constraint Tightening against Cyberattacks: Application to Vehicle Cruise Control—0
Case Studies for Computing Density of Reachable States for Safe Autonomous Motion Planning—0
An Edge Architecture Oriented Model Predictive Control Scheme for an Autonomous UAV Mission—0
Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation—0
Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive Control—0
An Economic Model Predictive Control Approach for Load Mitigation on Multiple Tower Locations of Wind Turbines—0
A deterministic view on explicit data-driven (M)PC—0
Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control—0
Bridging Model-based Safety and Model-free Reinforcement Learning through System Identification of Low Dimensional Linear Models—0
An Automatic Tuning MPC with Application to Ecological Cruise Control—0
Bounding the difference between model predictive control and neural networks—0
Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process—0
A Proximal-Point Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control—0
A Data-Efficient Approach to Precise and Controlled Pushing—0
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning—0
Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization—0
An Approach to State Signal Shaping by Limit Cycle Model Predictive Control—0
Benchmarking Model Predictive Control Algorithms in Building Optimization Testing Framework (BOPTEST)—0
Active Learning-based Model Predictive Coverage Control—0
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters—0
Bilevel Optimization for Real-Time Control with Application to Locomotion Gait Generation—0
Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic—0
An ANN-Enhanced Approach for Flatness-Based Constrained Control of Nonlinear Systems—0
Bidding and Dispatch Strategies with Flexibility Quantification and Pricing for Electric Vehicle Aggregator in Joint Energy-Regulation Market—0
Bias Correction in Deterministic Policy Gradient Using Robust MPC—0
A Data-Driven Autopilot for Fixed-Wing Aircraft Based on Model Predictive Control—0
Beyond Quadratic Costs in LQR: Bregman Divergence Control—0
Benefits of Feedforward for Model Predictive Airpath Control of Diesel Engines—0
Analysis of Functional Insufficiencies and Triggering Conditions to Improve the SOTIF of an MPC-based Trajectory Planner—0
Behavior Planning of Autonomous Cars with Social Perception—0
Analysis and tuning of a three-term DMC—0
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks—0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty—0
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling—0
Analysis and design of model predictive control frameworks for dynamic operation -- An overview—0
Bayesian LSTM for indoor temperature modeling—0
Bayesian Learning Approach to Model Predictive Control—0
An AI-enabled dual-hormone model predictive control algorithm that delivers insulin and pramlintide—0
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