Results 11 to 20 of about 2,196,650 (239)

Lyapunov stability analysis in the training of type 2 neuro-fuzzy inference system with a hybrid algorithm based on gradient descent and Kalman filter [PDF]

مجله مدل سازی در مهندسی, 2022
The stability of the training process in the identification of nonlinear systems is one of the foremost issues in control research. This paper studies the training stability of an interval type 2 adaptive neuro-fuzzy Inference system (IT2ANFIS) as an ...
Mohammad Mahdi Zabihi Shesh Poli, Mahdi Aliyari Shoorehdeli, Ali Moarefianpour   +2 more
doaj   +1 more source

cleanSURFACES® intervention reduces microbial activity on surfaces in a senior care facility

Frontiers in Cellular and Infection Microbiology, 2022
As one of the top public health challenges outlined by the Centers for Disease Control (CDC), estimates report that hospital acquired infections (HAIs) claim the lives of 99,000 Americans and cost healthcare providers over $28 billion each year.
Justin R. Wright, Truc T. Ly, Colin J. Brislawn, Jeremy R. Chen See, Samantha L. C. Anderson, Jordan T. Pellegrino, Logan Peachey, Christine Y. Walls, Jessica A. Bess, Anne L. Bailey, Katie E. Braun, Alexander J. Shope, Alexander J. Shope, Regina Lamendella   +13 more
doaj   +1 more source

Exact and Inexact Lifting Transformations of Nonlinear Dynamical Systems: Transfer Functions, Equivalence, and Complexity Reduction

Applied Sciences, 2022
In this work, we deal with the problem of approximating and equivalently formulating generic nonlinear systems by means of specific classes thereof. Bilinear and quadratic-bilinear systems accomplish precisely this goal.
Ion Victor Gosea
doaj   +1 more source

Quantum System Identification [PDF]

Physical Review Letters, 2012
The aim of quantum system identification is to estimate the ingredients inside a black box, in which some quantum-mechanical unitary process takes place, by just looking at its input-output behavior. Here we establish a basic and general framework for quantum system identification, that allows us to classify how much knowledge about the quantum system ...
Burgarth, Daniel, Yuasa, Kazuya
openaire   +3 more sources

A Modified Noise-Resistant Trend Estimation Method Based on EMD and SSA for Aeroelastic Aircraft Systems [PDF]

AUT Journal of Modeling and Simulation, 2021
Aimed at the nonlinear system identification of aeroelastic aircraft, the signal decomposition methods are required to extract the contributing natural and non-standard flight modes from flight test data, especially in the presence of flight noise.
Seyed Amin Bagherzadeh, Hamed Mohammadkarimi   +1 more
doaj   +1 more source

System identification—A survey [PDF]

Automatica, 1971
The field of identification and process-parameter estimation has developed rapidly during the past decade. In this survey paper the state-of-the-art/science is presented in a systematic way. Attention is paid to general properties and to classification of identification problems. Model structures are discussed; their choice hinges on the purpose of the
Åström, Karl Johan, Eykhoff, Pieter
openaire   +3 more sources

Design and Implementation of Hardware-in-the-Loop Simulation Environment Using System Identification Method for Independent Rear Wheel Steering System

Machines, 2023
In the automotive field, with the advancement of electronic and signal processing technologies, active control-based chassis systems have been developed to enhance vehicle stability.
Chulwoo Moon
doaj   +1 more source

Vibration Signal Evaluation Based on K-Means Clustering as a Pre-Stage of Operational Modal Analysis for Structural Health Monitoring of Rotating Machines

Energies, 2023
Rotating machines are key components in energy generation processes, and faults can lead to shutdowns or catastrophes encompassing economic and social losses.
Nathali Rolon Dreher, Gustavo Chaves Storti, Tiago Henrique Machado   +2 more
doaj   +1 more source

Partial-Update Kalman Filter for Permanent Magnet Synchronous Motor Estimates Under Intermittent Data

IEEE Access, 2022
The partial-update Kalman filter (PKF) is an extension of the Schmidt Kalman filter, which can improve the capabilities of the conventional extended Kalman filter for handling model uncertainties and nonlinearities.
Ajay Pratap Yadav, Mohammadreza Davoodi, Nicholas R. Gans, Ali Davoudi   +3 more
doaj   +1 more source

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses.
J. Yu, J. Yu, Y. Li, D. Ge, D. Ge, Y. Chen, Y. Chen, Q. Wu, Q. Wu, Y. Ma, Y. Ma   +10 more
doaj   +1 more source