Title :
Identification of state-space models by modified nonlinear ls optimization method
Author :
Lusheng Zhong ; Hui Yang ; Rongxiu Lu ; Baohua, Sun ; Shasha, Meng
Author_Institution :
Coll. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang, China
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.
Keywords :
least squares approximations; optimisation; parameter estimation; state-space methods; LTI state-space system; modified nonlinear LS optimization method; nonlinear least square method; output error cost function; parameter estimation; system identification; Cost function; Educational institutions; Gaussian distribution; Gaussian noise; Optimization methods; Parameter estimation; Space technology; State estimation; Sun; System identification; Nonlinear Least Square; Parameter Estimation; State-Space Model; System Identification;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5192350
