Results 11 to 20 of about 93,147 (298)

Frequency-domain subspace identification for nonlinear mechanical systems [PDF]

open access: yesMechanical Systems and Signal Processing, 2013
Abstract This paper introduces a new frequency-domain subspace-based method for the identification of nonlinear mechanical systems. The technique exploits frequency-domain data and interprets nonlinearities as feedback forces exciting the underlying linear system. It is first demonstrated using two academic examples, namely a Duffing oscillator and a
Noël, Jean-Philippe, Kerschen, Gaëtan
openaire   +5 more sources

A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

open access: yesApplied 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
doaj   +1 more source

Subspace System Identification of the Kalman Filter [PDF]

open access: yesModeling, 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

Application of the Subspace-Based Methods in Health Monitoring of Civil Structures: A Systematic Review and Meta-Analysis

open access: yesApplied Sciences, 2020
A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi   +5 more
doaj   +1 more source

Closed Loop Subspace Identification [PDF]

open access: yesModeling, Identification and Control, 2005
A new three step closed loop subspace identifications algorithm based on an already existing algorithm and the Kalman filter properties is presented. The Kalman filter contains noise free states which implies that the states and innovation are uneorre ...
Geir W. Nilsen, David Di Ruscio
doaj   +1 more source

Data-Driven Predictive Control With Switched Subspace Matrices for an SCR System

open access: yesIEEE 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
doaj   +1 more source

Subspace Identification of Large-Scale Interconnected Systems [PDF]

open access: yesIEEE Transactions on Automatic Control, 2014
We propose a decentralized subspace algorithm for identification of large-scale, interconnected systems that are described by sparse (multi) banded state-space matrices. First, we prove that the state of a local subsystem can be approximated by a linear combination of inputs and outputs of the local subsystems that are in its neighborhood. Furthermore,
Haber, Aleksandar, Verhaegen, Michel
openaire   +2 more sources

Modal parameters identification of bridge by improved stochastic subspace identification method with Grubbs criterion

open access: yesMeasurement + Control, 2021
In the wind tunnel test of a long-span bridge model, to ensure that the dynamic characteristics of the model can satisfy the test design requirements, it is particularly important to accurately identify the modal parameters of the model.
Yulin Zhou   +5 more
doaj   +1 more source

Closed-Loop Continuous-Time Subspace Identification with Prior Information

open access: yesMathematics, 2023
This paper presents a closed-loop continuous-time subspace identification method using prior information. Based on a rational inner function, a generalized orthonormal basis can be constructed, and the transformed noises have ergodicity features.
Miao Yu, Wanli Wang, Youyi Wang
doaj   +1 more source

Subspace confinement : how good is your qubit? [PDF]

open access: yes, 2007
The basic operating element of standard quantum computation is the qubit, an isolated two-level system that can be accurately controlled, initialized and measured. However, the majority of proposed physical architectures for quantum computation are built
Cole, Jared H.   +4 more
core   +2 more sources

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