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Distributed Control Theory for Biological and Cyberphysical Systems.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Distributed Control Theory for Biological and Cyberphysical Systems./
Author:	Li, Jing Shuang.
Description:	1 online resource (153 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:	Dissertations Abstracts International85-05B.
Subject:	Sparsity. -
Online resource:	click for full text (PQDT)
ISBN:	9798380725255

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

Distributed Control Theory for Biological and Cyberphysical Systems. - 1 online resource (153 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380725255Subjects--Topical Terms:

1372730
Sparsity.
Index Terms--Genre/Form:

554714
Electronic books.

Distributed Control Theory for Biological and Cyberphysical Systems.
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500 $a Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
500 $a Advisor: Doyle, John.
502 $a Thesis (Ph.D.)--California Institute of Technology, 2024.
504 $a Includes bibliographical references
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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Sparsity. $3 1372730
650 4 $a Control theory. $3 527674
650 4 $a Communication. $3 556422
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650 4 $a Systems science. $3 1148479
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710 2 $a California Institute of Technology. $b Engineering and Applied Science. $3 1437764
773 0 $t Dissertations Abstracts International $g 85-05B.
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