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The buffered optimization methods for online transfer function identification employed on DEAP actuator [PDF]

open access: yesArchives of Control Sciences, 2023
Identification plays an important role in relation to control objects and processes as it enables the control system to be properly tuned. The identification methods described in this paper use the Stochastic Gradient Descent algorithms, which have so ...
Jakub Bernat, Jakub Kołota
doaj   +1 more source

Microevolutionary system identification and climate response predictions by use of BLUP prediction error method [PDF]

open access: yesModeling, Identification and Control, 2023
Animals and other organisms in wild populations may adjust to climate change by means of plasticity and evolution, and it is an important task to find the contributions from each of these effects.
Rolf Ergon
doaj   +1 more source

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

open access: yesFrontiers 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   +13 more
doaj   +1 more source

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

open access: yesApplied 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]

open access: yesPhysical 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 Greedy Pursuit Hierarchical Iteration Algorithm for Multi-Input Systems with Colored Noise and Unknown Time-Delays

open access: yesAlgorithms, 2023
This paper focuses on the joint estimation of parameters and time delays for multi-input systems that contain unknown input delays and colored noise.
Ruijuan Du, Taiyang Tao
doaj   +1 more source

Dynamic Characterisation of a Heritage Structure with Limited Accessibility Using Ambient Vibrations

open access: yesBuildings, 2023
Historic Cairo has been a UNESCO World Heritage Site since 1979. It has more than 600 historic structures, which require extensive studies to sustain their cultural, religious, and economic values.
Ahmad R. Bakkar   +5 more
doaj   +1 more source

System identification—A survey [PDF]

open access: yesAutomatica, 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

Identifying the Sweet Spot of Padel Rackets with a Robot

open access: yesSensors, 2023
Although the vibration of rackets and the location of the sweet spot for players when hitting the ball is crucial, manufacturers do not specify this behavior precisely.
Carlos Blanes   +3 more
doaj   +1 more source

Data-Driven Stability Assessment of Multilayer Long Short-Term Memory Networks

open access: yesApplied Sciences, 2021
Recurrent Neural Networks (RNNs) are increasingly being used for model identification, forecasting and control. When identifying physical models with unknown mathematical knowledge of the system, Nonlinear AutoRegressive models with eXogenous inputs ...
Davide Grande   +3 more
doaj   +1 more source

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