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Data-Driven Detection of Stealthy IA Attacks in Industrial Cyber-Physical Systems via DGM Quantification [PDF]

open access: yesSensors
Industrial cyber-physical systems face increasing security threats from sophisticated cyber attacks. Traditional anomaly detectors generally require exact system models and noise statistics, which are often unavailable in practical industrial ...
Jingzhao Chen, Bin Liu, Zhiqun Jiang
doaj   +2 more sources

On subspace system identification methods [PDF]

open access: yesModeling, Identification and Control, 2022
An open and closed loop subspace system identification algorithm DSRe is compared to competitive open loop algorithms, DSR, and N4SID. Additionally, DSRe is compared vs the optimal Prediction Error Method (PEM).
Christer Dalen, David Di Ruscio
doaj   +1 more source

System Identification of Lightly Damped Systems Using Recursive Kautz Functions-Case Study With Coriolis Mass Flow Meter

open access: yesIEEE Access, 2021
This manuscript deals with the system identification of lightly (under) damped processes to find a suitable model structure. To identify such processes, the Kautz model, which is a two-parameter representation of orthogonal basis functions (OBF) in state
R. Rajaprasanna   +2 more
doaj   +1 more source

APPLICATION OF PARTIAL LEAST SQUARES REGRESSION FOR AUDIO-VISUAL SPEECH PROCESSING AND MODELING [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2015
Subject of Research. The paper deals with the problem of lip region image reconstruction from speech signal by means of Partial Least Squares regression. Such problems arise in connection with development of audio-visual speech processing methods.
A. L. Oleinik
doaj   +1 more source

A Nonlinear Subspace Approach for Parametric Estimation of PDFs From Short Data Records With Application to Rayleigh Fading

open access: yesIEEE Access, 2022
This paper tackles the issue of real-time parametric estimation of a wide class of probability density functions from limited datasets. This type of estimation addresses recent applications that require joint sensing and actuation.
Ahmad A. Masoud
doaj   +1 more source

Combined Deterministic and Stochastic System Identification and Realization: DSR - A Subspace Approach Based on Observations [PDF]

open access: yesModeling, Identification and Control, 1996
A numerically stable and general algorithm for identification and realization of a complete dynamic linear state space model, including the system order, for combined deterministic and stochastic systems from time series is presented.
David Di Ruscio
doaj   +1 more source

Slow feature subspace: A video representation based on slow feature analysis for action recognition

open access: yesMachine Learning with Applications, 2023
This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead to an
Suzana Rita Alves Beleza   +3 more
doaj   +1 more source

Comparing Subspace Methods for Closed Loop Subspace System Identification by Monte Carlo Simulations [PDF]

open access: yesModeling, 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
doaj   +1 more source

Fusing Local and Global Information for One-Step Multi-View Subspace Clustering

open access: yesApplied Sciences, 2022
Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan   +3 more
doaj   +1 more source

Structure-Constrained Symmetric Low-Rank Representation Algorithm for Subspace Clustering [PDF]

open access: yesJisuanji gongcheng, 2021
The potential subspace structure of high-dimensional data can be obtained by using subspace clustering,but the existing methods can not reveal the characteristics of global low-rank structure and local sparse structure of data at the same time,which ...
TAO Yang, BAO Linglang, HU Hao
doaj   +1 more source

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