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

Authors:
Lusheng Zhong;Hui Yang;Rongxiu Sun Baohua Meng Shasha Lu
Affiliations:
College of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang, Jiangxi;College of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang, Jiangxi;College of Electrical and Electronic Engineering, East China Jiaotong University, Nanchang, Jiangxi
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Year:
2009

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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.