Optimal experiment design and system identification : human testing applications
"In this work, we demonstrate novel techniques for system identification and the optimization of experimental input sequences. The goal of these techniques is to extend traditional methods to the analysis of human motor control systems." - Abstract.
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- In Collections
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Electronic Theses & Dissertations
- Copyright Status
- In Copyright
- Material Type
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Theses
- Authors
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Priess, Martin Cody
- Thesis Advisors
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Choi, Jongeun
- Committee Members
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Mukherjee, Ranjan
Zhu, George
Cholewicki, Jacek
Reeves, Norman
Radcliffe, Clark
- Date Published
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2015
- Subjects
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Control theory
Robotics
System identification
- Program of Study
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Mechanical Engineering - Doctor of Philosophy
- Degree Level
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Doctoral
- Language
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English
- Pages
- xi, 106 pages
- ISBN
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9781321728095
1321728093
- Permalink
- https://doi.org/doi:10.25335/kz19-jv30