Results 1 to 10 of about 13,850 (305)

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

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

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 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

Data-Driven Predictive Control of a Pneumatic Ankle Foot Orthosis

open access: yesAdvances in Electrical and Computer Engineering, 2021
We present the design and control of a pneumatic ankle-foot orthosis (P-AFO) device powered via bi-directional pneumatic rotary actuator and a pneumatic artificial muscle for rehabilitation assistance and treatment of neuromuscular disorders.
ULKIR, O.   +3 more
doaj   +1 more source

CESSIPy: A Python open-source module for stochastic system identification in civil engineering

open access: yesSoftwareX, 2022
This paper presents CESSIPy, a Python open-source module for identifying modal properties of a vibrating structure from output-only measurements. The identified properties are natural frequencies, damping ratios and modal shapes.
Matheus Roman Carini, Marcelo Maia Rocha
doaj   +1 more source

Extension of Subspace Identification to LPTV Systems: Application to Helicopters [PDF]

open access: yes, 2012
In this paper, we focus on extending the subspace identification to the class of linear periodically time-varying (LPTV) systems. The Lyapunov-Floquet transformation is first applied to the system’s state-space model in order to get the monodromy matrix (
Jhinaoui, Ahmed   +5 more
core   +1 more source

Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach

open access: yesAbstract and Applied Analysis, 2014
This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
doaj   +1 more source

Development of a software platform for bridge modal and damage identification based on ambient excitation

open access: yesHigh-Speed Railway, 2023
Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li   +3 more
doaj   +1 more source

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