Model reduction of uncertain interval systems using genetic algorithms

Chen Chien Hsu; Chih Hua Yu

Model reduction of uncertain interval systems using genetic algorithms

Chen Chien Hsu^*, Chih Hua Yu

^*此作品的通信作者

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.

原文	英語
頁面	251-254
頁數	4
出版狀態	已發佈 - 2004
對外發佈	是
事件	SICE Annual Conference 2004 - Sapporo, 日本持續時間: 2004 8月 4 → 2004 8月 6

其他

其他	SICE Annual Conference 2004
國家/地區	日本
城市	Sapporo
期間	2004/08/04 → 2004/08/06

ASJC Scopus subject areas

控制與系統工程
電腦科學應用
電氣與電子工程

其它文件與鏈接

引用此

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title = "Model reduction of uncertain interval systems using genetic algorithms",

abstract = "A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.",

keywords = "Bode envelope, Genetic algorithms, Interval systems, Model reduction",

author = "Hsu, {Chen Chien} and Yu, {Chih Hua}",

year = "2004",

language = "English",

pages = "251--254",

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T1 - Model reduction of uncertain interval systems using genetic algorithms

AU - Hsu, Chen Chien

AU - Yu, Chih Hua

PY - 2004

Y1 - 2004

N2 - A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.

AB - A GA-based approach is presented to derive a reduced model for a high-order interval system. To search for the optimal reduced model, we construct an aggregated error of the Bode envelopes between the original and reduced systems, subsequently minimized by a genetic algorithm. Impulse response energy of the interval systems is obtained to evaluate the performance of the reduced models.

KW - Bode envelope

KW - Genetic algorithms

KW - Interval systems

KW - Model reduction

UR - http://www.scopus.com/inward/record.url?scp=12744274835&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=12744274835&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:12744274835

SP - 251

EP - 254

T2 - SICE Annual Conference 2004

Y2 - 4 August 2004 through 6 August 2004

ER -

Model reduction of uncertain interval systems using genetic algorithms

摘要

其他

ASJC Scopus subject areas

其它文件與鏈接

指紋

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