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Model Predictive Control

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Showing 376–400 of 1582 papers

TitleStatusHype
Data-driven Predictive Tracking Control based on Koopman Operators—0
A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts—0
Constrained nonlinear output regulation using model predictive control -- extended version—0
Application of Terminal Region Enlargement Approach for Discrete Time Quasi Infinite Horizon NMPC—0
Data-driven Self-triggered Control via Trajectory Prediction—0
Data-driven tube-based stochastic predictive control—0
Data-Driven Strategies for Hierarchical Predictive Control in Unknown Environments—0
Data-Driven Subsynchronous Oscillation Suppression for Renewable Energy Integrated Power Systems Based on Koopman Operator—0
Data-driven synthesis of Robust Invariant Sets and Controllers—0
Data-Driven Tracking MPC for Changing Setpoints—0
Data-efficient, Explainable and Safe Box Manipulation: Illustrating the Advantages of Physical Priors in Model-Predictive Control—0
Data-Efficient Learning of Feedback Policies from Image Pixels using Deep Dynamical Models—0
Data Efficient Reinforcement Learning for Legged Robots—0
A Stochastic Nonlinear Model Predictive Control with an Uncertainty Propagation Horizon for Autonomous Vehicle Motion Control—0
Data/moment-driven approaches for fast predictive control of collective dynamics—0
Data Set Description: Identifying the Physics Behind an Electric Motor -- Data-Driven Learning of the Electrical Behavior (Part II)—0
Constrained Nonlinear Model Predictive Control of an MMA Polymerization Process via Evolutionary Optimization—0
DDK: A Deep Koopman Approach for Dynamics Modeling and Trajectory Tracking of Autonomous Vehicles—0
Asynchronous Computation of Tube-based Model Predictive Control—0
Decentralized Robust Interval Type-2 Fuzzy Model Predictive Control for Takagi-Sugeno Large-Scale Systems—0
Decentralized Thermal Control of Buildings—0
Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours—0
A System Level Approach to Tube-based Model Predictive Control—0
Constrained Model-Free Reinforcement Learning for Process Optimization—0
A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements—0
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