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Control Node and Sensor Selection in...

Nugroho, Sebastian Adi.

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Control Node and Sensor Selection in Dynamical Systems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control Node and Sensor Selection in Dynamical Systems./
作者:	Nugroho, Sebastian Adi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	253 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:	Dissertations Abstracts International82-12B.
標題:	Electrical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496987
ISBN:	9798516060212

Control Node and Sensor Selection in Dynamical Systems.
Nugroho, Sebastian Adi.

Control Node and Sensor Selection in Dynamical Systems. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 253 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: B.

Thesis (Ph.D.)--The University of Texas at San Antonio, 2021.

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

Complex dynamical systems are comprised of many interconnected, smaller subsystems whereeach is characterized by its own dynamics, control nodes, and a set of measurements. These dynamicalsystems are governed by mean of actuators applied to the control nodes and often, in thecase where not all states are accessible, the state trajectories need be estimated by mean of measurementsobtained from the sensors. Although it is preferred to use all control nodes and sensorsto perform control, utilizing large number of control nodes and sensors is not practical and cost-effectiveespecially for large-scale dynamical systems. To that end, this dissertation is dedicated toaddress the problem of control node and/or sensor selection: the search of the best configurationof control nodes and sensors such that the overall system is controllable and/or observable whileoptimizing some user-defined metrics and satisfying some logistical constraints. Several researchobjectives are considered herein: (a) investigating the joint control node and sensor selection forstabilization via static state-feedback control approach of linear dynamical systems, (b) proposing ageneral framework to solve the control node and sensor selection for nonlinear dynamical systems,(c) introducing a unified framework to parameterize the constants characterizing the correspondingnonlinearities, (d) exploring a Gramian-based approach to place sensors in traffic networks, and(e) proposing the concept of average observability to efficiently solve the sensor selection usingGreedy algorithms.

ISBN: 9798516060212Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Actuator selection

Control Node and Sensor Selection in Dynamical Systems.
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300 $a 253 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
500 $a Advisor: Taha, Ahmad F.
502 $a Thesis (Ph.D.)--The University of Texas at San Antonio, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a Complex dynamical systems are comprised of many interconnected, smaller subsystems whereeach is characterized by its own dynamics, control nodes, and a set of measurements. These dynamicalsystems are governed by mean of actuators applied to the control nodes and often, in thecase where not all states are accessible, the state trajectories need be estimated by mean of measurementsobtained from the sensors. Although it is preferred to use all control nodes and sensorsto perform control, utilizing large number of control nodes and sensors is not practical and cost-effectiveespecially for large-scale dynamical systems. To that end, this dissertation is dedicated toaddress the problem of control node and/or sensor selection: the search of the best configurationof control nodes and sensors such that the overall system is controllable and/or observable whileoptimizing some user-defined metrics and satisfying some logistical constraints. Several researchobjectives are considered herein: (a) investigating the joint control node and sensor selection forstabilization via static state-feedback control approach of linear dynamical systems, (b) proposing ageneral framework to solve the control node and sensor selection for nonlinear dynamical systems,(c) introducing a unified framework to parameterize the constants characterizing the correspondingnonlinearities, (d) exploring a Gramian-based approach to place sensors in traffic networks, and(e) proposing the concept of average observability to efficiently solve the sensor selection usingGreedy algorithms.
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653 $a Cyber-physical systems
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653 $a Optimization
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