Model reduction by matching Markov parameters, time moments, and impulse-response energies

This paper presents a simple procedure for constructing reduced-order models that match some Markov parameters and time moments of an original system as well as the energies of its impulse response and of other combinations of the system modes. In this way, the stability of the reduced model of a st...

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Bibliographic Details
Published inIEEE transactions on automatic control Vol. 40; no. 5; pp. 949 - 953
Main Authors Krajewski, W., Lepschy, A., Viaro, U.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.05.1995
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Automatic control
Computer science; control theory; systems
Control theory. Systems
Exact sciences and technology
Frequency
Informatics
Modelling and identification
Perturbation methods
Power system modeling
Reduced order systems
Stability
State-space methods
Transfer functions
Moment
Pulse response
Modeling
System reduction
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Summary:This paper presents a simple procedure for constructing reduced-order models that match some Markov parameters and time moments of an original system as well as the energies of its impulse response and of other combinations of the system modes. In this way, the stability of the reduced model of a stable system is ensured.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0018-9286
1558-2523
DOI:10.1109/9.384238