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Model Predictive Control

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Showing 1376–1400 of 1582 papers

TitleStatusHype
Robust optimal control using dynamic programming and guaranteed Euler's method—0
Robust output feedback model predictive control using online estimation bounds—0
Robust Output-Feedback MPC for Nonlinear Systems with Applications to Robotic Exploration—0
Robust Resource-Aware Self-triggered Model Predictive Control—0
Robust Stability of Suboptimal Moving Horizon Estimation using an Observer-Based Candidate Solution—0
Robust Tube-based Control Strategy for Vision-guided Autonomous Vehicles—0
Robust tube-based LPV-MPC for autonomous lane keeping—0
Robust Tube-based Model Predictive Control with Koopman Operators--Extended Version—0
Robust Variable-Horizon MPC with Adaptive Terminal Constraints—0
Rocket Landing Control with Grid Fins and Path-following using MPC—0
Rolling Ahead Diffusion for Traffic Scene Simulation—0
Ro-To-Go! Robust Reactive Control with Signal Temporal Logic—0
RTI-NMPC for Control of Autonomous Vehicles Using Implicit Discretization Methods—0
Safe Adaptive Cruise Control Under Perception Uncertainty: A Deep Ensemble and Conformal Tube Model Predictive Control Approach—0
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach—0
Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control—0
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control—0
Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions—0
Safe-by-Construction Autonomous Vehicle Overtaking using Control Barrier Functions and Model Predictive Control—0
Safe-by-Design Planner-Tracker Synthesis—0
Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty—0
Safe Collective Control under Noisy Inputs and Competing Constraints via Non-Smooth Barrier Functions—0
Safe Data-Driven Predictive Control—0
Safe end-to-end imitation learning for model predictive control—0
A predictive safety filter for learning-based control of constrained nonlinear dynamical systems—0
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