Author:
Ohsumi Akira,Kawano Tsutomu
Reference10 articles.
1. On-line Subspace System Identification;Cho;Control Eng. Practice,1993
2. Fast Recursive Idetification of State Space Models via Exploitation of Displacement Structure;Cho;Auotmatica,1994
3. Identification of Time-varying Biological Systems from Ensemble Data;MacNeil;IEEE Trans. Bio. Engineering,1992
4. Marmarelis, V. Z. (1987). Nonlinear and Nonstationary Modeling of Physiological Systems: An Overview. In Advanced Methods of Physiological System Modeling, Vol. 1 (Ed: V. Z. Marmarelis), Biomedical Simulations Resource, Uni. Southern California, Los Angeles, pp. 1-24.
5. Ohsumi, A., K. Kameyama, and K.-I. Yamaguchi (1999). Subspace-based Identification for Continuous-time Stochastic Systems via Distribution-theoretic Approach. In Proc. 14th IFAC World Congress, Beijing, P.R. China, July, pp. 223-238; also see (2002) Subspace Identification for Continuous-time Stochastic Systems via Distribution-based Approach. Automatica, vo1. 38, no. 1, pp. 63-79.
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