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Parameter Estimation for Rhythmic Locomotion Guckenheimer, John
Description
A simple, abstract model for rhythmic locomotion is a stable periodic orbit of a vector field. Stability often requires feedback and control. This talk will discuss how an organism might estimate parameters in a model controller. Noise in the system is inevitable. The resulting fluctuations give information useful for estimating the parameters. However, the time required may be implausibly slow in systems with Gaussian noise, prompting the search for alternative models. What are experiments that might give further insight into these issues
Item Metadata
Title |
Parameter Estimation for Rhythmic Locomotion
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Creator | |
Publisher |
Banff International Research Station for Mathematical Innovation and Discovery
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Date Issued |
2019-05-22T09:27
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Description |
A simple, abstract model for rhythmic locomotion is a stable periodic orbit of a vector field. Stability often requires feedback and control. This talk will discuss how an organism might estimate parameters in a model controller. Noise in the system is inevitable. The resulting fluctuations give information useful for estimating the parameters. However, the time required may be implausibly slow in systems with Gaussian noise, prompting the search for alternative models. What are experiments that might give further insight into these issues
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Extent |
39.0 minutes
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Subject | |
Type | |
File Format |
video/mp4
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Language |
eng
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Notes |
Author affiliation: Cornell University
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Series | |
Date Available |
2019-11-19
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0385542
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URI | |
Affiliation | |
Peer Review Status |
Unreviewed
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Scholarly Level |
Faculty
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International