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Identification of systems with rate ...

Yean Keong, Alex Yong.

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Identification of systems with rate saturation through the best linear approximation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Identification of systems with rate saturation through the best linear approximation./
Author:	Yean Keong, Alex Yong.
Description:	122 p.
Notes:	Source: Masters Abstracts International, Volume: 55-03.
Contained By:	Masters Abstracts International55-03(E).
Subject:	Mechanical engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1606050
ISBN:	9781339356839

Identification of systems with rate saturation through the best linear approximation.
Yean Keong, Alex Yong.

Identification of systems with rate saturation through the best linear approximation. - 122 p.

Source: Masters Abstracts International, Volume: 55-03.

Thesis (M.Eng.Sc.)--Multimedia University (Malaysia), 2015.

Rate Saturation (RS) is a dynamic nonlinearity which is present in many control systems. The RS limits restrict the rate of change of the output signal per unit of time. Studies over time have shown that RS nonlinearity reduces performance and affects stability in control systems. Instances which have been associated with RS include accidents involving the Saab JAS 39 Gripen and the USAF YF-22 aircrafts. RS is also a known problem in steam boilers, active magnetic bearing actuators, thermal generating units and earthquake shake table systems. A common method for modelling nonlinear systems is through the use of block-oriented models. Existing estimation methods for the standalone RS do not readily extend to larger block-oriented models where the RS nonlinearity forms a subcomponent. Although there are many studies in the literature on the identification of block-oriented models, most of them are focused on models with static nonlinearities. This research fills the gap in the literature on the identification of block-oriented models with dynamic nonlinearity, and it deals specifically with the RS nonlinearity. The standalone RS is first considered. Through the application of the best linear approximation (BLA) and Bussgang's theorem, the RS limit s of the system are estimated.

ISBN: 9781339356839Subjects--Topical Terms:

649730
Mechanical engineering.

Identification of systems with rate saturation through the best linear approximation.
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020 $a 9781339356839
035 $a (MiAaPQ)AAI1606050
035 $a AAI1606050
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100 1 $a Yean Keong, Alex Yong. $3 3194011
245 1 0 $a Identification of systems with rate saturation through the best linear approximation.
300 $a 122 p.
500 $a Source: Masters Abstracts International, Volume: 55-03.
500 $a Advisers: Tan Ai Hui; Cham Chin Lei.
502 $a Thesis (M.Eng.Sc.)--Multimedia University (Malaysia), 2015.
520 $a Rate Saturation (RS) is a dynamic nonlinearity which is present in many control systems. The RS limits restrict the rate of change of the output signal per unit of time. Studies over time have shown that RS nonlinearity reduces performance and affects stability in control systems. Instances which have been associated with RS include accidents involving the Saab JAS 39 Gripen and the USAF YF-22 aircrafts. RS is also a known problem in steam boilers, active magnetic bearing actuators, thermal generating units and earthquake shake table systems. A common method for modelling nonlinear systems is through the use of block-oriented models. Existing estimation methods for the standalone RS do not readily extend to larger block-oriented models where the RS nonlinearity forms a subcomponent. Although there are many studies in the literature on the identification of block-oriented models, most of them are focused on models with static nonlinearities. This research fills the gap in the literature on the identification of block-oriented models with dynamic nonlinearity, and it deals specifically with the RS nonlinearity. The standalone RS is first considered. Through the application of the best linear approximation (BLA) and Bussgang's theorem, the RS limit s of the system are estimated.
590 $a School code: 1615.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Systems science. $3 3168411
650 4 $a Engineering. $3 586835
690 $a 0548
690 $a 0790
690 $a 0537
710 2 $a Multimedia University (Malaysia). $b Engineering. $3 3183648
773 0 $t Masters Abstracts International $g 55-03(E).
790 $a 1615
791 $a M.Eng.Sc.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1606050