NDLI: Identification of state-space models by modified nonlinear ls optimization method

Content Provider	IEEE Xplore Digital Library
Author	Lusheng Zhong Hui Yang Rongxiu Lu Sun Baohua Meng Shasha
Copyright Year	2009
Description	Author affiliation: College of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang Jiangxi 330013, China (Lusheng Zhong; Hui Yang; Rongxiu Lu; Sun Baohua; Meng Shasha)
Abstract	The problem of estimating parameter of LTI state-space system is addressed in this paper. A modified nonlinear least square(NNLS) method is proposed to the optimization of output error cost function. The nonuniqueness of the fully parameterized state-space is considered and the parameter update is restricted to the directions that change the input-output behavior of the system. Simulation studies show the improved performance of the proposed method.
Starting Page	1184
Ending Page	1187
File Size	169256
Page Count	4
File Format	PDF
ISBN	9781424427222
DOI	10.1109/CCDC.2009.5192350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Optimization methods Gaussian distribution Educational institutions Nonlinear Least Square Sun Parameter Estimation Gaussian noise Space technology System Identification State-Space Model Cost function System identification State estimation
Content Type	Text
Resource Type	Article

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Identification of state-space models by modified nonlinear ls optimization method