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

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

9 May 2022
Iman Askari
Babak Badnava
Thomas Woodruff
Shen Zeng
H. Fang
ArXivPDFHTML

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

6 / 6 papers shown
Title
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing
Motion Planning for Autonomous Vehicles: When Model Predictive Control Meets Ensemble Kalman Smoothing
Iman Askari
Yebin Wang
Vedeng M. Deshpande
H. Fang
42
1
0
10 May 2025
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
MultiNash-PF: A Particle Filtering Approach for Computing Multiple Local Generalized Nash Equilibria in Trajectory Games
Maulik Bhatt
Iman Askari
Yue Yu
Ufuk Topcu
H. Fang
Negar Mehr
31
0
0
07 Oct 2024
Efficient model predictive control for nonlinear systems modelled by
  deep neural networks
Efficient model predictive control for nonlinear systems modelled by deep neural networks
Jianglin Lan
35
0
0
16 May 2024
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion Planning
Iman Askari
Xumein Tu
Shen Zeng
Shen Zeng
Huazhen Fang
24
6
0
12 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
140
162
0
04 Oct 2023
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
92
263
0
07 Jul 2017
1