東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Multicellular Control.

Sarma, Anish Anandsai.

Linked to FindBook

Google Book

Amazon

博客來

Multicellular Control.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multicellular Control./
Author:	Sarma, Anish Anandsai.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	115 p.
Notes:	Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
Contained By:	Dissertations Abstracts International84-12B.
Subject:	Control theory. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30548408
ISBN:	9798379694678

Multicellular Control.
Sarma, Anish Anandsai.

Multicellular Control. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 115 p.

Source: Dissertations Abstracts International, Volume: 84-12, Section: B.

Thesis (Ph.D.)--California Institute of Technology, 2023.

Robust control theory was developed in the late twentieth century as a mathematical framework to enable the principled incorporation of uncertainty into engineering design in applications like aerospace. However, engineered technologies that interface with living systems in applications like medicine and ecology must accommodate uncertainties and unmodeled dynamics far beyond what robust control theory has historically achieved. This thesis develops a robust control foundation for overcoming large-scale uncertainty and designing interfaces with living systems, through formal theory and three case studies: neural control of movement, immune control of viruses, and homeostatic control of neoplasia in the moon jellyfish.The central argument of this thesis is that these three systems, along with many others, have two key properties that enable new approaches to the uncertainty intrinsic to their study: they are themselves control systems, and they are multicellular systems. These properties motivate new work in control theory, blending recent results in localized and distributed control with older results from robust and modern control. The resulting theory framework answers domain-specific questions, guides the design of new experiments and technologies, and enables a conceptual synthesis. By leveraging the fact that these are multicellular control systems, we are able to make progress in theory, basic science, and engineering.

ISBN: 9798379694678Subjects--Topical Terms:

535880
Control theory.

Multicellular Control.
LDR:02477nmm a2200337 4500 001 2403578
005 20241118135836.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798379694678
035 $a (MiAaPQ)AAI30548408
035 $a (MiAaPQ)Caltech_oaithesislibrarycaltechedu14967
035 $a AAI30548408
040 $a MiAaPQ $c MiAaPQ
100 1 $a Sarma, Anish Anandsai. $0 (orcid)0000-0003-1261-0589 $3 3773849
245 1 0 $a Multicellular Control.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 115 p.
500 $a Source: Dissertations Abstracts International, Volume: 84-12, Section: B.
500 $a Advisor: Doyle, John Comstock;Goentoro, Lea A.
502 $a Thesis (Ph.D.)--California Institute of Technology, 2023.
520 $a Robust control theory was developed in the late twentieth century as a mathematical framework to enable the principled incorporation of uncertainty into engineering design in applications like aerospace. However, engineered technologies that interface with living systems in applications like medicine and ecology must accommodate uncertainties and unmodeled dynamics far beyond what robust control theory has historically achieved. This thesis develops a robust control foundation for overcoming large-scale uncertainty and designing interfaces with living systems, through formal theory and three case studies: neural control of movement, immune control of viruses, and homeostatic control of neoplasia in the moon jellyfish.The central argument of this thesis is that these three systems, along with many others, have two key properties that enable new approaches to the uncertainty intrinsic to their study: they are themselves control systems, and they are multicellular systems. These properties motivate new work in control theory, blending recent results in localized and distributed control with older results from robust and modern control. The resulting theory framework answers domain-specific questions, guides the design of new experiments and technologies, and enables a conceptual synthesis. By leveraging the fact that these are multicellular control systems, we are able to make progress in theory, basic science, and engineering.
590 $a School code: 0037.
650 4 $a Control theory. $3 535880
650 4 $a Virulence. $3 720303
650 4 $a Cell cycle. $3 766119
650 4 $a Cell growth. $3 3560747
650 4 $a Developmental biology. $3 592588
650 4 $a Cell division. $3 816756
650 4 $a Systems science. $3 3168411
650 4 $a Bioengineering. $3 657580
690 $a 0758
690 $a 0202
690 $a 0790
710 2 $a California Institute of Technology. $b Biology and Biological Engineering. $3 3700756
773 0 $t Dissertations Abstracts International $g 84-12B.
790 $a 0037
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30548408