SUBSPACE IDENTIFICATION OF CLOSED LOOP SYSTEMS BY STOCHASTIC REALIZATION
IFAC Proceedings Volumes, 2002 Abstract We develop a closed loop subspace identification method based on stochastic realization theory. Using the preliminary orthogonal decomposition of (Picci and Katayama, 1996b) we show that, under the assumption that the exogenous input is feedback-free and persistently exciting (PE), the identification of closed loop systems is divided into ...
KATAYAMA T., KAWAUCHI H., PICCI, GIORGIO
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Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method
Shock and Vibration, 2019 To investigate the time-varying dynamic characteristics of concrete dams under the excitation of large earthquakes for online structural health monitoring and damage evaluation, an online modal identification procedure based on strong-motion records is ...
Lin Cheng +3 more
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Real-time performance monitoring of tuned mass damper system for a 183 m reinforced concrete chimney [PDF]
, 2010 A 183 m reinforced concrete chimney for a coal-fired power station was instrumented in the latter part of its life during the construction of a replacement chimney.
C.R. Goddard +12 more
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Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System
Applied Sciences, 2022 It is vital to improve the stability of the power system by accurately identifying the modal parameters of damped low-frequency oscillations (DLFO) and controlling the oscillation in time.
Huan Li +3 more
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Stochastic Analysis of the LMS Algorithm for System Identification with Subspace Inputs [PDF]
, 2008 This paper studies the behavior of the low rank LMS adaptive algorithm for the general case in which the input transformation may not capture the exact input subspace.
Bermudez, José Carlos Moreira +2 more
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SSI improved algorithm based on zero phase filtering technology for structural parameter identification in civil engineering [PDF]
Archives of Civil EngineeringEarly damage detection and reinforcement of civil engineering structures are crucial. To ensure timely maintenance in the later stage, the civil structure is subjected to modal parameter identification.
Kai Yang, Zhenwu Wang
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Journal of Low Frequency Noise, Vibration and Active Control, 2022 This study proposes an algorithm for autonomous modal estimation to automatically eliminate false modes and quantify the uncertainty caused by the clustering algorithm and ambient factors. This algorithm belongs to the stochastic subspace identification (
Yongpeng Luo +3 more
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Inverse problems and uncertainty quantification [PDF]
, 2013 In a Bayesian setting, inverse problems and uncertainty quantification (UQ) - the propagation of uncertainty through a computational (forward) model - are strongly connected.
Litvinenko, Alexander +1 more
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Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction
Journal of Imaging, 2020 This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become a ...
Muhammad Danial Bin Abu Hasan +3 more
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Infinite dimensional parameter identification for stochastic parabolic systems [PDF]
, 1988 The infinite dimensional parameter estimation for stochastic heat diffusion equations is considered using the method of sieves.
Aihara, ShinIchi, Bagchi, Arunabha
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