A Comparative Analysis of Some Reduction Methods Based on First- and Second-Order Information
作者： W. Krajewski , A. Lepschy , U. Viaro
DOI: 10.1016/S1474-6670(17)51495-0
关键词: Rational function 、 Laplace transform 、 Markov chain 、 Mathematical optimization 、 Applied mathematics 、 Mathematics 、 Linear system 、 Transfer function 、 Reduction methods 、 Impulse (physics)
摘要: Abstract A rational Laplace transform F(s) can in general be determined from an equal number of first-order information indices, e.g., Markov parameters, and second-order the energies corresponding time-function f(t) its derivatives. These indices may originate a higher-order function G(s) to approximated. In context model reduction, usually represent transforms impulse responses original reduced system (transfer functions), respectively. However, they alternatively taken as transient parts forced different inputs. The effects input choice are discussed.
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