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Distributed Control Theory for Biolo...

Li, Jing Shuang.

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Distributed Control Theory for Biological and Cyberphysical Systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed Control Theory for Biological and Cyberphysical Systems./
Author:	Li, Jing Shuang.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
Description:	153 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
Subject:	Sparsity. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30716960
ISBN:	9798380725255

Distributed Control Theory for Biological and Cyberphysical Systems.
Li, Jing Shuang.

Distributed Control Theory for Biological and Cyberphysical Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 153 p.

Source: Dissertations Abstracts International, Volume: 85-05, Section: B.

Thesis (Ph.D.)--California Institute of Technology, 2024.

This item must not be sold to any third party vendors.

In engineering, control theory plays a crucial role in the design and analysis of robust and efficient systems - including robots, spacecraft, and power grids. In biology, control theory underlies sensorimotor and locomotion models of organisms. Distributed control is particularly useful for large-scale cyber-physical systems and also in biological systems, where communication is more limited than in engineered counterparts. In this thesis, I provide a number of theoretical advances in distributed control theory on the relationship between communication within controllers vs. closed-loop behavior in both the online and offline settings, on the application of distributed methods to robust control, and on necessarily information flow within controllers subject to communication constraints. I then discuss the applications of these theoretical advances to the primate cortex, as well as to sensorimotor models of drosophila locomotion. Overall, the contributions outlined in this thesis facilitate modeling techniques and insights that were previously unavailable.

ISBN: 9798380725255Subjects--Topical Terms:

3680690
Sparsity.

Distributed Control Theory for Biological and Cyberphysical Systems.
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506 $a This item must not be sold to any third party vendors.
520 $a In engineering, control theory plays a crucial role in the design and analysis of robust and efficient systems - including robots, spacecraft, and power grids. In biology, control theory underlies sensorimotor and locomotion models of organisms. Distributed control is particularly useful for large-scale cyber-physical systems and also in biological systems, where communication is more limited than in engineered counterparts. In this thesis, I provide a number of theoretical advances in distributed control theory on the relationship between communication within controllers vs. closed-loop behavior in both the online and offline settings, on the application of distributed methods to robust control, and on necessarily information flow within controllers subject to communication constraints. I then discuss the applications of these theoretical advances to the primate cortex, as well as to sensorimotor models of drosophila locomotion. Overall, the contributions outlined in this thesis facilitate modeling techniques and insights that were previously unavailable.
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