Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning-Reference-Cited by-同舟云学术

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Sampling-Based Nonlinear MPC of Neural Network Dynamics with Application to Autonomous Vehicle Motion Planning

Published:2022-06-08 Issue: Volume: Page:
ISSN:
Container-title:2022 American Control Conference (ACC)
language:
Short-container-title:

Author:

Askari Iman¹,Badnava Babak¹,Woodruff Thomas²,Zeng Shen³,Fang Huazhen¹

Affiliation:

1. University of Kansas,Department of Mechanical Engineering,Lawrence,KS,USA,66045

2. University of Kansas,Department of Electrical Engineering and Computer Science,Lawrence,KS,USA,66045

3. Washington University,Department of Electrical and System Engineering,St. Louis,MO,USA,63130

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867324.pdf?arnumber=9867324

Reference29 articles.

1. Structured neural network dynamics for model-based control;broad;ArXiv,2018

2. Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

3. Nonlinear model predictive control of an aerial manipulator using a recurrent neural network model;garimella,2018

4. Neural Network Model Predictive Control of Nonlinear Systems Using Genetic Algorithms

5. Motion Planning of Autonomous Road Vehicles by Particle Filtering

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1. Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing;2024 American Control Conference (ACC);2024-07-10

2. A Survey of Vehicle Dynamics Models for Autonomous Driving;SAE Technical Paper Series;2024-04-09

3. ADRC‐SMC‐based disturbance rejection depth‐tracking control of underactuated AUV;Journal of Field Robotics;2024-03-06

4. Stabilizing unstable periodic orbit of unknown fractional-order systems via adaptive delayed feedback control;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2023-09-29

5. Optimal predictive neuro-navigator design for mobile robot navigation with moving obstacles;Frontiers in Robotics and AI;2023-08-09

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