A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network-Reference-Cited by-同舟云学术

A New Prepositioning Technique of a Motion Simulator Platform Using Nonlinear Model Predictive Control and Recurrent Neural Network

Published:2022-12 Issue:12 Volume:23 Page:23268-23277
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Chalak Qazani Mohammad Reza¹^ORCID,Asadi Houshyar¹^ORCID,Zhang Li²^ORCID,Tabarsinezhad Farzin³,Mohamed Shady¹,Lim Chee Peng¹^ORCID,Nahavandi Saeid¹^ORCID

Affiliation:

1. Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC, Australia

2. Department of Computer Science, Royal Holloway, University of London, Surrey, U.K

3. Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9972869/09875055.pdf?arnumber=9875055

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1. Application of machine learning in rapid analysis of solder joint geometry and type on thermomechanical useful lifetime of electronic components

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3. On the Objective Evaluation of Motion Cueing in Vehicle Simulations

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5. Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator

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