Results 191 to 200 of about 3,247,690 (230)

Machine learning-based stochastic subspace identification method for structural modal parameters

Engineering structures, 2023
Dawei Liu, Y. Bao, Hui Li
semanticscholar   +1 more source

Subspace Identification of Time Series

2015
In this chapter we consider the identification problem of constructing dynamical models of observed signals starting from a sequence of experimental data (called a “time-series” in statistics). More precisely, given a finite observed sample $$\displaystyle{ (y_{0},y_{1},y_{2},\ldots,y_{N}) }$$ (13.1) we want to estimate the parameters (A, B ...
Anders Lindquist, Giorgio Picci
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Gray-Box Parsimonious Subspace Identification of Hammerstein-Type Systems

IEEE transactions on industrial electronics (1982. Print), 2021
Jie Hou, Fengwei Chen, Penghua Li, Zhiqin Zhu   +3 more
semanticscholar   +1 more source

Subspace identification of circulant systems

Automatica, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Massioni, Paolo, Verhaegen, Michel
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Deterministic Subspace Identification

Model-Based Processing, 2019
This chapter focuses on the foundation of the system identification problem for state‐space systems that leads to subspace identification techniques. The original basis has evolved from systems theory and the work of Kalman for control system design. The
J. Candy
semanticscholar   +1 more source

Subspace identification for batch processes

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999
We propose a general methodology for converting available batch plant data into prediction models by using the subspace identification method, which has been reserved almost exclusively for continuous systems, to develop an interand intra-batch correlation model.
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Subspace identification of bridge dynamics via traversing vehicle measurements

Journal of Sound and Vibration, 2022
N. Jin, V. Dertimanis, E. Chatzi, E. Dimitrakopoulos, L. Katafygiotis   +4 more
semanticscholar   +1 more source

Subspace Identification and ARX Modeling

IFAC Proceedings Volumes, 2003
Abstract In this paper we present a new identification method that points at the close relationship between high order ARX modeling and subspace identification. A high order ARX model is utilized to obtain initial estimates of certain Markov parameters.
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Statistically robust signal subspace identification

International Conference on Acoustics, Speech, and Signal Processing, 2002
The problem of signal subspace identification in the presence of transient, high-power noise or non-Gaussian noise is considered. To overcome such problems, an algorithm that results in a statistically robust singular value decomposition is proposed. This algorithm is derived from the connection between least-squares regression and the singular value ...
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Subspace-based Continuous-time Identification

2008
The last few years have witnessed a strong interest in system identification using realisation-based algorithms. The use of Markov parameters as suggested by Ho and Kalman [18] Akaike [1], and Kung [28], of a system can be effectively applied to the problem of state-space identification; see Verhaegen et al.
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