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Model Predictive Control

Papers

Showing 401–450 of 1582 papers

TitleStatusHype
An overview of systems-theoretic guarantees in data-driven model predictive control—0
AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control—0
CommonPower: A Framework for Safe Data-Driven Smart Grid ControlCode1
Nonlinear Model Predictive Control for Preview-Based Traction Control—0
Nonlinear Model Predictive Control for Enhanced Path Tracking and Autonomous Drifting through Direct Yaw Moment Control and Rear-Wheel-Steering—0
Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics—0
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming—0
Sensitivity Analysis for Piecewise-Affine Approximations of Nonlinear Programs with Polytopic Constraints—0
Differentially-Private Distributed Model Predictive Control of Linear Discrete-Time Systems with Global Constraints—0
Convex neural network synthesis for robustness in the 1-normCode0
Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy OptimizationCode0
Socially-Aware Shared Control Navigation for Assistive Mobile Robots in the Built Environment—0
Safe Deep Model-Based Reinforcement Learning with Lyapunov FunctionsCode0
Rocket Landing Control with Grid Fins and Path-following using MPC—0
Automatic parking planning control method based on improved A* algorithm—0
Energy-efficient predictive control for connected, automated driving under localization uncertainty—0
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared SpaceCode1
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
A Simulation Tool for V2G Enabled Demand Response Based on Model Predictive ControlCode2
Multi-Objective Learning Model Predictive ControlCode0
Distributed Model Predictive Control for Asynchronous Multi-agent Systems with Self-Triggered Coordinator—0
Recursively Feasible Shrinking-Horizon MPC in Dynamic Environments with Conformal Prediction Guarantees—0
Self-Triggered Distributed Model Predictive Control with Synchronization Parameters Interaction—0
Adaptive tracking MPC for nonlinear systems via online linear system identificationCode1
Efficient model predictive control for nonlinear systems modelled by deep neural networks—0
Incorporating ESO into Deep Koopman Operator Modelling for Control of Autonomous Vehicles—0
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics—0
Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning—0
Nonparametric Control Koopman Operators—0
Cooperative Route Guidance and Flow Control for Mixed Road Networks Comprising Expressway and Arterial Network—0
On the constrained feedback linearization control based on the MILP representation of a ReLU-ANN—0
Configuration-Constrained Tube MPC for TrackingCode0
Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations—0
UDUC: An Uncertainty-driven Approach for Learning-based Robust Control—0
Obstacle Avoidance of Autonomous Vehicles: An LPVMPC with Scheduling Trust Region—0
Hybrid Lyapunov-based feedback stabilization of bipedal locomotion based on reference spreading—0
A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving CarsCode0
GAD-Generative Learning for HD Map-Free Autonomous Driving—0
Data-Driven Min-Max MPC for Linear Systems: Robustness and Adaptation—0
Adaptive Learning-based Model Predictive Control for Uncertain Interconnected Systems: A Set Membership Identification Approach—0
Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-II: Intra-day and Experimental Validation—0
Grid-aware Scheduling and Control of Electric Vehicle Charging Stations for Dispatching Active Distribution Networks. Part-I: Day-ahead and Numerical Validation—0
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models—0
Mapping back and forth between model predictive control and neural networks—0
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation—0
The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study—0
MPC using mixed-integer programming for aquifer thermal energy storages—0
Disturbance feedback-based model predictive control in uncertain dynamic environments—0
Nonlinear sparse variational Bayesian learning based model predictive control with application to PEMFC temperature control—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
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