Results 21 to 30 of about 3,247,690 (230)
Subspace Identification for Multi-Source Domain Adaptation [PDF]
Neural Information Processing Systems, 2023 Multi-source domain adaptation (MSDA) methods aim to transfer knowledge from multiple labeled source domains to an unlabeled target domain. Although current methods achieve target joint distribution identifiability by enforcing minimal changes across ...
Zijian Li +5 more
semanticscholar +1 more source
A Robust Probabilistic Approach to Stochastic Subspace Identification [PDF]
Journal of Sound and Vibration, 2023 Modal parameter estimation of operational structures is often a challenging task when confronted with unwanted distortions (outliers) in field measurements.
Brandon J. O’Connell, T. Rogers
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Stochastic subspace identification of modal parameters during ice-structure interaction. [PDF]
Philos Trans A Math Phys Eng Sci, 2019 Identifying the modal parameters of structures located in ice-infested waters may be challenging due to the interaction between the ice and structure. In this study, both simulated data from a state-of-the-art ice–structure interaction model and measured
Nord TS, Petersen ØW, Hendrikse H.
europepmc +2 more sources
Mechanical systems and signal processing, 2021 The modes of linear time invariant mechanical systems can be estimated from output-only vibration measurements under ambient excitation conditions with subspace-based system identification methods.
Szymon Greś +3 more
semanticscholar +1 more source
Applied Sciences, 2022 As one of the most catastrophic natural disasters worldwide, earthquakes and their effect on structures are very important to structural health monitoring (SHM), particularly for the ones living around the Pacific ring of fire.
Shieh-Kung Huang +2 more
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Comparing Subspace Methods for Closed Loop Subspace System Identification by Monte Carlo Simulations [PDF]
Modeling, Identification and Control, 2009 A novel promising bootstrap subspace system identification algorithm for both open and closed loop systems is presented. An outline of the SSARX algorithm by Jansson (2003) is given and a modified SSARX algorithm is presented.
David Di Ruscio
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Applied Sciences, 2020 Subspace system identification is a class of methods to estimate state-space model based on low rank characteristic of a system. State-space-based subspace system identification is the dominant subspace method for system identification in health ...
Hoofar Shokravi +4 more
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Data-Driven Predictive Control With Switched Subspace Matrices for an SCR System
IEEE Access, 2022 Selective catalytic reduction (SCR) systems are distributed systems with strong time-varying parameter characteristics such that an accurate model for it is difficult to establish.
Jinghua Zhao +5 more
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Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2003 Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
doaj +1 more source
Deep Subspace Encoders for Nonlinear System Identification [PDF]
at - Automatisierungstechnik, 2022 Using Artificial Neural Networks (ANN) for nonlinear system identification has proven to be a promising approach, but despite of all recent research efforts, many practical and theoretical problems still remain open.
G. Beintema, M. Schoukens, R. T'oth
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