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Distributed Control Theory for Biological and Cyberphysical Systems.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Distributed Control Theory for Biological and Cyberphysical Systems./
作者:
Li, Jing Shuang.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:
153 p.
附註:
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
Contained By:
Dissertations Abstracts International85-05B.
標題:
Systems science. -
電子資源:
http://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:
1148479
Systems science.
Distributed Control Theory for Biological and Cyberphysical Systems.
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