DocumentCode
2971676
Title
Two classes of useful order reduction approaches in engineering practice
Author
Tang, Wei ; Wang, Xi ; Chao, Yuyan ; He, Lifeng
Author_Institution
Dept. of Artificial Intell. & Comput. Sci., Nagoya Inst. of Technol., Nagoya, Japan
fYear
2009
fDate
22-24 June 2009
Firstpage
875
Lastpage
880
Abstract
In terms of the basic principles of step response modeling and moment modeling, two classes of useful order reduction approaches, graphical order reduction approach and moment order reduction approach, are proposed in this paper. The procedures for parameter determination of the low-order approximating models are illustrated in detail. Graphical order reduction approach can be traced back to one of the classical modeling methods, by which the parameters of a low-order model can be specified by plotting and calculating. Moment order reduction approach is an impulse response based method, by which the low-order model parameters can be specified from the first two or three moments of the impulse response. Detailed comparisons are done by a large number of simulations to verify the approximating abilities of the low-order models yielded by the methods proposed in this paper.
Keywords
approximation theory; reduced order systems; transient response; graphical order reduction approach; impulse response based method; low-order approximating models; moment modeling; moment order reduction approach; parameter determination; step response modeling; useful order reduction; Automation; Chaos; Computer errors; Control system synthesis; Equations; Helium; Mathematical model; Process design; Reduced order systems; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location
Zhuhai, Macau
Print_ISBN
978-1-4244-3607-1
Electronic_ISBN
978-1-4244-3608-8
Type
conf
DOI
10.1109/ICINFA.2009.5205042
Filename
5205042
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