|Table of Contents|

[1] Wang Zhenbin, Cao Guangyi, Zhu Xinjian,. Identification algorithm for a kind of fractional order system [J]. Journal of Southeast University (English Edition), 2004, 20 (3): 297-302. [doi:10.3969/j.issn.1003-7985.2004.03.007]
Copy

Identification algorithm for a kind of fractional order system()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
20
Issue:
2004 3
Page:
297-302
Research Field:
Automation
Publishing date:
2004-09-30

Info

Title:
Identification algorithm for a kind of fractional order system
Author(s):
Wang Zhenbin Cao Guangyi Zhu Xinjian
Department of Automation, Shanghai Jiaotong University, Shanghai 200030, China
Keywords:
fractional order systems state-space representation system identification fractional order Poisson filter least square method instrumental variable method
PACS:
TP13
DOI:
10.3969/j.issn.1003-7985.2004.03.007
Abstract:
The state-space representation of linear time-invariant(LTI)fractional order systems is introduced, and a proof of their stability theory is also given. Then an efficient identification algorithm is proposed for those fractional order systems. The basic idea of the algorithm is to compute fractional derivatives and the filter simultaneously, i.e., the filtered fractional derivatives can be obtained by computing them in one step, and then system identification can be fulfilled by the least square method. The instrumental variable method is also used in the identification of fractional order systems. In this way, even if there is colored noise in the systems, the unbiased estimation of the parameters can still be obtained. Finally an example of identifying a viscoelastic system is given to show the effectiveness of the aforementioned method.

References:

[1] Darling R, Newman J. On the short behavior of porous intercalation electrodes [J]. J Electrochem Soc, 1997, 144(9): 3057-3063.
[2] Battaglia J L, Lay L L, Batsale J C, et al. Heat flow estimation through inverted non integer identification models [J]. International Journal of Thermal Science, 2000, 39(3): 374-389.
[3] Caputo M, Mainardi F. A new dissipation model based on memory mechanism [J]. Pure and Applied Geophysics, 1971, 91(8): 134-147.
[4] Bagley R L. Power law and fractional calculus model of viscoelasticity [J]. AIAA Journal, 1989, 27(10): 1412-1417.
[5] Lennart L. System identification-theory for the user. 2nd Ed [M]. Prince Hall PTR, 1999.
[6] Fang Chongzhi, Xiao Deyun. Process identification [M]. Beijing: Tsinghua University Press, 1988. 178-184.(in Chinese)
[7] Bagley R L, Calico R A. Fractional-order state equations for the control of viscoelastic damped structures [J]. J Guidance, Control and Dynamics, 1991, 14(2): 304-311.
[8] Ikeda F, Kawata S. An optimal design of fractional differential active mass dampers for structures equipped with viscoelastic dampers [A]. In: 5th International Conference on Motion and Vibration Control [C]. Australia, 2000. 223-228.
[9] Podlubny I. Fractional differential equations [M]. San Diego: Academic Press, 1999. 33-34.
[10] Lubich C. Discretized fractional calculus [J]. SIAM J Math Anal, 1986, 17(3): 704-719.

Memo

Memo:
Biographies: Wang Zhenbin(1973—), male, graduate; Cao Guangyi(corresponding author), male, doctor, professor, gycao@sjtu.edu.cn.
Last Update: 2004-09-20