Study on the MOESP Subspace Identification Method and its Simulation

Li Zhang; Qing Yang Xu; Zeng Jun Bao

doi:10.4028/www.scientific.net/AMM.734.358

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Study on the MOESP Subspace Identification Method...

Study on the MOESP Subspace Identification Method and its Simulation

Abstract:

A detailed description of the basic principles of MOESP subspace system identification methods is introduced. The extended state space equation which is formed by Hankel matrix is used in subspace identification, and then the augmented observation matrix and state space vector estimation are all got by SVD decomposition. The simulation results on a multi input/output system demonstrate the effectiveness and feasibility of the method.

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Periodical:

Applied Mechanics and Materials (Volume 734)

Pages:

358-361

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.734.358

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Online since:

February 2015

Authors:

Li Zhang*, Qing Yang Xu, Zeng Jun Bao

Keywords:

Modeling, Moesp Subspace, Order, Simulation, Singular Value Decomposition (SVD)

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* - Corresponding Author

References

[1] I.W. Jamaludin, N.A. Wahab, M.F. Rahmat, S. Sahlan, Online Subspace Identification Methods for MIMO Model, 2012 IEEE CONFERENCE ON CONTROL, SYSTEMS & INDUSTRIAL INFORMATICS (ICCSII), (2012) 22-25.

DOI: 10.1109/ccsii.2012.6470466

Google Scholar

[2] H.G. Zhang, T.D. Ma, G.B. Huang, Z.L. Wang, Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control, Ieee T Syst Man Cy B, 40(2010) 831-844.

DOI: 10.1109/tsmcb.2009.2030506

Google Scholar

[3] Y. Subasi, M. Demirekler, Quantitative measure of observability for linear stochastic systems, Automatica, 50(2014) 1669-1674.

DOI: 10.1016/j.automatica.2014.04.008

Google Scholar

[4] P.D.M. Van Overschee, A unifying theorem for three subspace system identification algorithms, Automatica, 31(1995) 1853-1864.

DOI: 10.1016/0005-1098(95)00072-0

Google Scholar

[5] J.A. Ramos, A. Alenany, H. Shang, P. Dos Santos, Subspace algorithms for identifying separable-in-denominator two-dimensional systems with deterministic inputs, IET CONTROL THEORY AND APPLICATIONS, 5(2011) 1748-1765.

DOI: 10.1049/iet-cta.2010.0302

Google Scholar