東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back to Search results for [ null ]

Switch To: Labeled | MARC Mode | ISBD

Stabilizing Controlled Systems in th...

Pardo, Isaac Becker.

Linked to FindBook

Google Book

Amazon

博客來

Stabilizing Controlled Systems in the Presence of Time-delays.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Stabilizing Controlled Systems in the Presence of Time-delays./
Author:	Pardo, Isaac Becker.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
Description:	45 p.
Notes:	Source: Masters Abstracts International, Volume: 84-02.
Contained By:	Masters Abstracts International84-02.
Subject:	Control theory. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29222735
ISBN:	9798841530008

Stabilizing Controlled Systems in the Presence of Time-delays.
Pardo, Isaac Becker.

Stabilizing Controlled Systems in the Presence of Time-delays. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 45 p.

Source: Masters Abstracts International, Volume: 84-02.

Thesis (M.Sc.)--Brigham Young University, 2022.

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

A dynamical system's state evolves over time, and when the system stays near a particular state this state is known as a stable state of the system. Through control methods, dynamical systems can be manipulated such that virtually any state can be made stable. Although most real systems evolve continuously in time the application of digital control methods to these systems is inherently discrete. States are sampled (with sensors) and fed back into the system in discrete-time to determine the input needed to control the continuous system. Additionally, dynamical systems often experience time delays. Some examples of time delays are delays due to transmission distances, processing software, sampling information, and many more. Such delays are often a cause of poor performance and, at times, instability in these systems. Recently a criterion referred to as intrinsic stability has been developed that ensures that a dynamic system cannot be destabilized by delays. The goal of this thesis is to broaden the definition of intrinsic stability to closed-loop systems, which are systems in which the control depends on the state of the system, and to determine control parameters that optimize this resilience to time delays. Here, we give criteria describing when a closed-loop system is intrinsically stable. This allows us to give examples in which systems controlled using Linear Quadratic Regulator (LQR) control can be made intrinsically stable.

ISBN: 9798841530008Subjects--Topical Terms:

535880
Control theory.

Stabilizing Controlled Systems in the Presence of Time-delays.
LDR:02522nmm a2200337 4500 001 2394344
005 20240422070832.5
006 m o d
007 cr#unu||||||||
008 251215s2022 ||||||||||||||||| ||eng d
020 $a 9798841530008
035 $a (MiAaPQ)AAI29222735
035 $a (MiAaPQ)BrighamYoung10404
035 $a AAI29222735
040 $a MiAaPQ $c MiAaPQ
100 1 $a Pardo, Isaac Becker. $3 3763814
245 1 0 $a Stabilizing Controlled Systems in the Presence of Time-delays.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 45 p.
500 $a Source: Masters Abstracts International, Volume: 84-02.
500 $a Advisor: Webb, Ben;Whitehead, Jared;Killpack, Marc.
502 $a Thesis (M.Sc.)--Brigham Young University, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a A dynamical system's state evolves over time, and when the system stays near a particular state this state is known as a stable state of the system. Through control methods, dynamical systems can be manipulated such that virtually any state can be made stable. Although most real systems evolve continuously in time the application of digital control methods to these systems is inherently discrete. States are sampled (with sensors) and fed back into the system in discrete-time to determine the input needed to control the continuous system. Additionally, dynamical systems often experience time delays. Some examples of time delays are delays due to transmission distances, processing software, sampling information, and many more. Such delays are often a cause of poor performance and, at times, instability in these systems. Recently a criterion referred to as intrinsic stability has been developed that ensures that a dynamic system cannot be destabilized by delays. The goal of this thesis is to broaden the definition of intrinsic stability to closed-loop systems, which are systems in which the control depends on the state of the system, and to determine control parameters that optimize this resilience to time delays. Here, we give criteria describing when a closed-loop system is intrinsically stable. This allows us to give examples in which systems controlled using Linear Quadratic Regulator (LQR) control can be made intrinsically stable.
590 $a School code: 0022.
650 4 $a Control theory. $3 535880
650 4 $a Systems stability. $3 3680640
650 4 $a Dynamical systems. $3 3219613
650 4 $a Closed loop systems. $3 3554637
650 4 $a Optimization. $3 891104
650 4 $a Equilibrium. $3 668417
650 4 $a Engineers. $3 681868
650 4 $a Mathematics. $3 515831
650 4 $a Systems science. $3 3168411
650 4 $a Eigenvalues. $3 631789
690 $a 0405
690 $a 0790
710 2 $a Brigham Young University. $3 1017451
773 0 $t Masters Abstracts International $g 84-02.
790 $a 0022
791 $a M.Sc.
792 $a 2022
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29222735