Modeling and Identification of Discrete Second-Order Systems via Stochastic Mechanics

Author:

OHSUMI AKIRA1

Affiliation:

1. Professor Emeritus of Kyoto Institute of Technology

Publisher

The Institute of Systems, Control and Information Engineers

Subject

General Medicine

Reference22 articles.

1. [1] M. Abdelghani, M. Verhaegen, P. Van Overschee, and B. De Moor: Comparison Study of Subspace Identification Methods Applied to Flexible Structures, Mechanical Systems and Signal Processing, 12-5, 679/692 (1998).

2. [2] C. S. Huang: Structural Identification from Ambient Vibration Measurement Using the Multivariate AR Model, J. of Sound and Vibration, 241-3, 337/359 (2001).

3. [3] M. De Angelis, H. Lu¸s, R. Betti, and R. W. Longman: Extracting Physical Parameters of Mechanical Models From Identified State-Space Representations, Trans. ASME, J. of Applied Mechanics, 69, 617/625 (2002).

4. [5] C.-F. Hung, W.-J. Ko, and Y.-T. Peng: Identification of Modal Parameters from Measured Input and Output Data Using a Vector Backward Auto-Regressive with Exogeneous Model, J. of Sound and Vibration, 276, 1043/1063 (2004).

5. [6] K. Sawada, K. Kameyama, S. Fujikawa, and A. Ohsumi: Estimation of Modal Parameters of a Multi-story Structure via Continuous-time 4SID Method, Proc. 48th Joint Automatic Control Conf., Nagano, 811/814 (2005) (in Japanese).

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1. An Outlook on the Identification of MIMO Linear and Nonlinear Stochastic Systems;Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications;2015

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