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Spectral discretization-based eigen-analysis of time-delay systemsnumerical methods and scalable applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Spectral discretization-based eigen-analysis of time-delay systemsby Hua Ye, Yutian Liu, Xiaofan Jia.
Reminder of title:	numerical methods and scalable applications /
Author:	Ye, Hua.
other author:	Liu, Yutian.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xvi, 171 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Time delay systemsMathematical models.
Online resource:	https://doi.org/10.1007/978-981-96-0738-9
ISBN:	9789819607389$q(electronic bk.)

Spectral discretization-based eigen-analysis of time-delay systemsnumerical methods and scalable applications /
Ye, Hua.

Spectral discretization-based eigen-analysis of time-delay systemsnumerical methods and scalable applications /[electronic resource] :by Hua Ye, Yutian Liu, Xiaofan Jia. - Singapore :Springer Nature Singapore :2025. - xvi, 171 p. :ill., digital ;24 cm.

Introduction -- Small Signal Stability Analysis of Time Delay Systems -- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems -- PIGD PS Method -- PSOD PS Method -- Applications to Power Systems with Inclusion of Wide Area Delays.

This book focuses on the partial spectral discretization (PSD)-based eigenvalue computation methods for large-scale time-delay systems. Due to past-dependence in the evolution of a system, time delays may greatly affect the system's dynamics. For example, wide-area damping controllers in the interconnected power systems are fed by remote synchrophasor measurements and thus inevitably introduce time delays into the control loop. These delays ranging from tens to hundreds of milliseconds can deteriorate the performance of the controllers and further jeopardize the power system stability. Therefore, this book addresses two classes of efficient eigenvalue computation methods for time-delay systems based on the PSD idea, as well as their applications to power systems with inclusion of time delays. The methods are expected to obtain the accurate stability boundary of time-delay systems with affordable computational burden. This book would appeal to engineers, researchers and graduate students in power and control engineering, as well as computational and applied mathematicians.

ISBN: 9789819607389$q(electronic bk.)

Standard No.: 10.1007/978-981-96-0738-9doiSubjects--Topical Terms:

996518
Time delay systems
--Mathematical models.

LC Class. No.: TJ223.T5

Dewey Class. No.: 629.83

Spectral discretization-based eigen-analysis of time-delay systemsnumerical methods and scalable applications /
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505 0 $a Introduction -- Small Signal Stability Analysis of Time Delay Systems -- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems -- PIGD PS Method -- PSOD PS Method -- Applications to Power Systems with Inclusion of Wide Area Delays.
520 $a This book focuses on the partial spectral discretization (PSD)-based eigenvalue computation methods for large-scale time-delay systems. Due to past-dependence in the evolution of a system, time delays may greatly affect the system's dynamics. For example, wide-area damping controllers in the interconnected power systems are fed by remote synchrophasor measurements and thus inevitably introduce time delays into the control loop. These delays ranging from tens to hundreds of milliseconds can deteriorate the performance of the controllers and further jeopardize the power system stability. Therefore, this book addresses two classes of efficient eigenvalue computation methods for time-delay systems based on the PSD idea, as well as their applications to power systems with inclusion of time delays. The methods are expected to obtain the accurate stability boundary of time-delay systems with affordable computational burden. This book would appeal to engineers, researchers and graduate students in power and control engineering, as well as computational and applied mathematicians.
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700 1 $a Jia, Xiaofan. $3 996517
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