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- W2370753676 abstract "This article discusses the system identification of finite-dimensional linear systems with one-dimensional input and output,which originates from parameter identification of electromotor sys- tems.We first offer an accurate identification approach for linear time-invariance dynamic systems with simple form of parameters,and derive its error bound.This approach can guarantee that the identified parameters are optimal,by solving a one-dimensional polynomial equation instead of a nonlinear least square problem.We then consider system identification of linear time-varied systems with composed form of parameters,derive an approximate identification approach and derive its error bound,which identifies the parameters by solving a nonlinear least square problem.Finally,we derive the determin- istic equivalent problems for linear systems with measure errors distributed in known intervals.The given numerical examples show that proposed methods are effective." @default.
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- W2370753676 date "2006-01-01" @default.
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- W2370753676 title "System Identification of Finite-dimensional Linear Systems" @default.
- W2370753676 hasPublicationYear "2006" @default.
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