A new open‐database benchmark structure for vibration‐based Structural Health Monitoring

S Wernitz, B Hofmeister, C Jonscher… - … Control and Health …, 2022 - Wiley Online Library
Abstract Vibration‐based Structural Health Monitoring is an ongoing field of research in
many engineering disciplines. As for civil engineering, plenty of experimental structures …

Parsimonious model based consistent subspace identification of Hammerstein systems under periodic disturbances

J Hou - International Journal of Control, Automation and …, 2024 - Springer
The existing results show the applicability of the over-parameterized model based subspace
identification method (OPM-like SIM) developed for consistent estimates of Hammerstein …

Fixed point iteration‐based subspace identification of Hammerstein state‐space models

J Hou, F Chen, P Li, Z Zhu - IET Control Theory & Applications, 2019 - Wiley Online Library
In this study, a fixed point iteration‐based subspace identification method is proposed for
Hammerstein state‐space systems. The original system is decomposed into two subsystems …

Fixed-wing unmanned aerial vehicle rotary engine anomaly detection via online digital twin methods

CC Peng, YH Chen - IEEE Transactions on Aerospace and …, 2023 - ieeexplore.ieee.org
Anomaly detection based on data-driven methods is an applicable way to deal with the
complex structure of aircraft engine. In this article, certain existing data-driven methods are …

System identification in multi-actuator hard disk drives with colored noises using observer/Kalman filter identification (OKID) framework

NPS Prakash, Z Chen, R Horowitz - arXiv preprint arXiv:2109.12460, 2021 - arxiv.org
Multi Actuator Technology in Hard Disk drives (HDDs) equips drives with two dual stage
actuators (DSA) each comprising of a voice coil motor (VCM) actuator and a piezoelectric …

State-space model and Kalman filter gain identification by a Kalman filter of a Kalman filter

MQ Phan, F Vicario… - Journal of …, 2018 - asmedigitalcollection.asme.org
This paper describes an algorithm that identifies a state-space model and an associated
steady-state Kalman filter gain from noise-corrupted input–output data. The model structure …

Improvements of magnetic suspension active vibration isolation for floating raft system

B Yang, Y Hu, F Vicario, J Zhang… - International Journal of …, 2017 - content.iospress.com
A floating raft system is a special double-layer isolation system aiming to reduce the level of
noise and vibration and has been widely applied to many kinds of ships and submarines. It …

Data-driven strictly positive real system identification with prior system knowledge

NPS Prakash, Z Chen… - 2022 American Control …, 2022 - ieeexplore.ieee.org
Strictly Positive Real (SPR) transfer functions arise in many areas of engineering like
passivity theory in circuit analysis and adaptive control to name a few. In many physical …

An iterative state-space identification method with data correlation for MIMO systems with measurement noise

D Soares Jr, AL Serpa - Journal of the Franklin Institute, 2022 - Elsevier
This work presents an iterative concept of the State-space Realization Algorithm with Data
Correlation (SSRA-DC) to identify MIMO systems with measurement noise and subjected to …

Learning and optimization methods for robust control of hard disk drives and geometric control of fully actuated mechanical systems

NPS Prakash - 2024 - search.proquest.com
Abstract The use of Machine Learning (ML) and optimization for control applications in
enhancing performance, replicating expert behaviors, and addressing other complex …