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Subspace Identification for Continuous-time Stochastic Systems via Distribution-based Approach by Akira Ohsumi; Kentaro Kameyama; Ken-Ichi Yamaguchi is a Engineering article available to read on EtoBox.

What is Subspace Identification for Continuous-time Stochastic Systems via Distribution-based Approach about?

This paper presents a novel approach for system identi"cation of continuous-time stochastic state space models from random input}output continuous data. The approach is based on the introduction of random distribution theory in describing (higher) time derivatives of stochastic processes, and the input}output algebraic relationship is derived which is treated in the time-domain. The e$cacy of the approach is examined by comparing with other approaches employing the "lters.

Who reads Subspace Identification for Continuous-time Stochastic Systems via Distribution-based Approach?

Author

Akira Ohsumi; Kentaro Kameyama; Ken-Ichi Yamaguchi

Publisher

Elsevier Science; Elsevier ; Elsevier Ltd.; Test accounts; Elsevier BV (ISSN 0005-1098)

Published

2002

Language

EN

Field

Engineering (Physical Sciences)