Results 221 to 230 of about 8,961 (241)

Closed-loop Subspace Identification

2008
The problem of closed-loop identification has been investigated for over 30 years. Important issues such as identifiability under closed-loop conditions have received attention by many researchers [75, 76, 77, 10]. A number of identification strategies have been developed [11, 10].
Biao Huang, Ramesh Kadali
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Direct multivariate subspace time identification

Mechanical Systems and Signal Processing, 2010
Abstract The paper presents a time domain method to identify structural modal parameters by fitting a discrete multivariate space-time model into noise corrupted, input–output measurement data. The subspace identification scheme proposed is an important characteristic of the method, leading to a deterministic and statistically bias free estimation of
Paulo R.G. Kurka, Simon Braun
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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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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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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 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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Subspace identification with moment matching

Automatica, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An overview of subspace identification

Computers & Chemical Engineering, 2006
This paper provides an overview of the state of the art of subspace identification methods for both open-loop and closed-loop systems. Practical considerations and future directions are given at the end of the paper.
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Subspace identification methods

2020
Pierre Thijssen, Sillas Hadjiloucas
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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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