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Enhancing human motion perception in model predictive motion cueing algorithm

Mohammadi, Arash 2018, Enhancing human motion perception in model predictive motion cueing algorithm, PhD thesis, Institute for Intelligent Systems Research and Innovation, Deakin University.

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Title Enhancing human motion perception in model predictive motion cueing algorithm
Author Mohammadi, ArashORCID iD for Mohammadi, Arash orcid.org/0000-0001-7634-8212
Institution Deakin University
School Institute for Intelligent Systems Research and Innovation
Faculty GTP Research
Degree type Research doctorate
Degree name PhD
Thesis advisor Mohamed, ShadyORCID iD for Mohamed, Shady orcid.org/0000-0002-8851-1635
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Nelson, KyleORCID iD for Nelson, Kyle orcid.org/0000-0003-1956-5493
Asadi, HoushyarORCID iD for Asadi, Houshyar orcid.org/0000-0002-3620-8693
Date submitted 2018-07-11
Summary In this research, the predictive motion cueing algorithm has been optimized for improving a human driver sensation based on the mathematical model. The Model Predictive Control cost function and the prediction and control horizons are optimized. The future trajectory is predicted by artificial intelligence and the related control actions are applied beforehand in real-time.
Language eng
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original 136 p.
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30112367

Document type: Thesis
Collections: Higher degree theses (Open Access)
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Created: Mon, 13 Aug 2018, 10:51:06 EST by Bayne Christine

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.