Mixed method of model reduction for uncertain systems | Zendy

N. Selvaganesan | Zendy

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Mixed method of model reduction for uncertain systems

Author(s) -

N. Selvaganesan

Publication year - 2007

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee0701001s

Subject(s) - mathematics , reduction (mathematics) , polynomial , division (mathematics) , interval (graph theory) , table (database) , model order reduction , control theory (sociology) , polynomial and rational function modeling , algorithm , computer science , arithmetic , mathematical analysis , artificial intelligence , geometry , projection (relational algebra) , control (management) , combinatorics , data mining

A mixed method for reducing a higher order uncertain system to a stable reduced order one is proposed. Interval arithmetic is used to construct a generalized Routh table for determining the denominator polynomial of the reduced system. The reduced numerator polynomial is obtained using factor division method and the steady state error is minimized using gain correction factor. The proposed method is illustrated using a numerical example

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