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Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching
2010
American Control Conference (ACC)
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To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to sets of clinical data obtained during serial ...
therapy interruptions as the distribution from which the Monte-Carlo method samples. ...
The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute Of Allergy And Infectious Diseases or the National Institutes of ...
pmid:24954972
pmcid:PMC4061758
fatcat:vmtmvxfxijfylorgedgkzdo2nu
Predicting the path of a changing sound: Velocity tracking and auditory continuity
2008
Journal of the Acoustical Society of America
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Experiments 1 and 2 use a modified probe-signal method to measure attentional filters and demonstrate increased detection to sounds falling along implied paths of constant-linear velocity. ...
Further, results show greater accuracy and decreased bias in the use of velocity information with increased exposure to a constant-velocity sound. ...
Each file of parameter estimates was then randomly divided into two groups. ...
doi:10.1121/1.2945117
pmid:18681601
pmcid:PMC2809678
fatcat:ipggeldno5felgrd3u3jb6i774
Modeling-error robustness of a viral-load preconditioning strategy for HIV treatment switching
2010
Proceedings of the 2010 American Control Conference
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To account for hidden parameter dependencies, we use parameter distributions obtained from the convergence of Bayesian parameter estimation techniques applied to sets of clinical data obtained during serial ...
therapy interruptions as the distribution from which the Monte-Carlo method samples. ...
To test the robustness of our method, we randomly sampled with replacement from the database of parameter values. ...
doi:10.1109/acc.2010.5530483
fatcat:escytqwrqjendlay2mjlh74ney
Inference of gene regulatory networks from genome-wide knockout fitness data
2012
Bioinformatics
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A statespace model with non-linear basis is used for dynamically describing gene regulatory networks. Network structure is then elucidated by estimating unknown model parameters. ...
Unlike most prior methods, the presented approach captures not only structural, but also dynamical and non-linear nature of biomolecular systems involved. ...
We would also like to thank the anonymous reviewers for useful comments and helpful suggestions that have offered much help in improving this article. Conflict of Interest: none declared. ...
doi:10.1093/bioinformatics/bts634
pmid:23271269
pmcid:PMC3562072
fatcat:bapulf5imvdtli5bczixwvrkke
Design characteristics and statistical methods used in interrupted time series studies evaluating public health interventions: protocol for a review
2019
BMJ Open
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From eligible studies, we will extract study characteristics, details of the statistical models and estimation methods, effect metrics and parameter estimates. ...
IntroductionAn interrupted time series (ITS) design is an important observational design used to examine the effects of an intervention or exposure. ...
Contributors JEM conceived the study and all authors contributed to its design. SLT wrote the first draft of the manuscript, with contributions from JEM and AK. ...
doi:10.1136/bmjopen-2018-024096
pmid:30696676
pmcid:PMC6352832
fatcat:ooyljdv5nfflpibsdur7iygycq
Parameter Identification and State-of-Charge Estimation for Li-Ion Batteries Using an Improved Tree Seed Algorithm
2019
IEICE transactions on information and systems
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To achieve better estimation result, an accurate battery model with optimum parameters is required. ...
. key words: parameter identification, optimizing algorithm, tree seed algorithm, differential evolution, swarm intelligence ...
In this paper, the parameter identification method based on an improved tree seed algorithm (TSA) is proposed and used for joint estimation with system states. ...
doi:10.1587/transinf.2019edp7015
fatcat:ehs4vqziyrdwrgbufcqn22dud4
Validation of a system for monitoring feeding behavior in beef cattle1
2011
Journal of Animal Science
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Observed bunk visit (BV) and meal event data (frequency and duration) were compared with electronic feeding behavior data generated by the GrowSafe system at 5 parameter settings (MPS; 30, 60, 100, 150 ...
Video data were regressed on the electronic feeding behavior data to obtain an estimate of precision (r 2 ) and other statistical estimates, including mean square error of prediction and concordance correlation ...
The number of BV per meal estimated by the electronic system was also compared with observed values. ...
doi:10.2527/jas.2010-3489
pmid:21512115
fatcat:l2vtg665izf5pprhvgmcjqiuxu
On-line system identification in real time using a minicomputer
1977
Mathematics and Computers in Simulation
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Astrom and Bohiin [2] suggested that a system is identifiable if th~ estimates of its parameters a~e consistent. ...
It is the process of obtaining the characteristic parameters of a system by artlf~cially exciting the system with some specially selected signals. ...
IF tlO,WAI T AND .WORD 0 85 05356 000~00 PONTR: .WORD '0 " ...
doi:10.1016/0378-4754(77)90003-9
fatcat:wa7vespxqvd55mh5pggt5nskyy
Observer-Side Parameter Estimation For Adaptive Control
[article]
2017
arXiv
pre-print
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The simplest way to reconcile this is to let the observer produce both state estimates and model parameter estimates, so that all probabilistic information is shared within the framework of the observer ...
In this thesis, we will investigate observer-side parameter estimation for adaptive control by precisely juxtaposing its mechanics against the current, widely accepted adaptive control designs. ...
, and can even be exponentially estimated by a linear observer. ...
arXiv:1711.09154v1
fatcat:a5lercti65awva2fii6yivxj5e
Iterative Online Fault Identification Scheme for High-Voltage Circuit Breaker Utilizing a Lost Data Repair Technique
2020
Energies
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These low-cost channels are often interrupted by strong electromagnetic interference and result in monitoring anomalies, particularly packet loss, which severely affects the precision of equipment fault ...
Loop iterations are implemented where the nearest neighbors are updated until their labels are consistent with the estimated labels of the repaired sample based on them. ...
With the randomly set i a and i b , the output matrix H can be determined uniquely; consequently, the approximated parameters i a , i b , and δ can be acquired by: ( ) ( ) * * * * 1 1 1 1 , , , , , min ...
doi:10.3390/en13133311
fatcat:6hvqfwyykffhng7yd2w5bxip5u
Anisotropic strain rate effects on the fibre?matrix interface decohesion in sheet moulding compound composites
2005
Composites Science And Technology
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The composite material consists in a sheet moulding compound (SMC-R26: weight content of 26%) with randomly oriented reinforcement. ...
microscope observations. ...
This analysis is based on the interrupted tensile test results and was conducted in order to estimate the macroscopic stiffness reduction (D macro ). ...
doi:10.1016/j.compscitech.2004.09.027
fatcat:jsha2yhpmregdaikn3c4a5ek5q
Voltage Quality Time Series Classification using Convolutional Neural Network
[article]
2019
arXiv
pre-print
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This work uses the advances in supervised learning to classify different power quality time-series waveforms such as voltage sag, swell, interruption, harmonics, transients and flicker. ...
These problems arise mainly due to increase in use of non-linear loads, operation of devices like adjustable speed drives and power factor correction capacitors, which is a growing concern both for utilities ...
A timely identification and cause of such disturbances can help system operators take necessary actions to prevent device malfunctions. ...
arXiv:1904.00228v1
fatcat:ymhooly7kjhwvbyp3kdwuxg6au
Automatic Identification of Change Points for the System Testing Process
2006
30th Annual International Computer Software and Applications Conference (COMPSAC'06)
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The application of the CDM Model has proven to be effective and accurate. The piecewise approximation used relies on the proper identification of re-calibration points. ...
In this paper we present a new technique for the automatic identification of change points which increases the applicability and accuracy of the CDM Model. ...
Along with the model in Eq. 4, an algorithm, based on system identification techniques [13] , has been developed to calibrate the parameters of the model [6] . ...
doi:10.1109/compsac.2006.31
dblp:conf/compsac/CangussuB06
fatcat:v6wlyax4lvccfhukuuxd6aiu3i
A Method for Sustaining Consistent Sensory–Motor Coordination under Body Property Changes Including Tool Grasp/Release
2010
Advanced Robotics
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This adaptation is achieved when a robot sustains its coordination between sensation and body motion; i.e. observation and identification of the discrepancy between its knowledge and actually obtained ...
For the sustainability, the robot should autonomously judge the reliability and the tolerance of the identification. ...
The other method is to estimate the allowable error, which can be a threshold to switch between observation and identification. ...
doi:10.1163/016918610x493543
fatcat:w5cg3kqjh5cj3hqezmmmavcns4
System Identification From Multiple Short-Time-Duration Signals
2007
IEEE Transactions on Biomedical Engineering
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An identification algorithm is presented here for parameter estimation based on minimising the simulated prediction error, across multiple signals. ...
The approach is applied to the identification of the passive oculomotor plant; parameters are estimated that describe the dynamics of the plant, which represent the time constants of the visco-elastic ...
INTRODUCTION A common approach to system identification is to assume that the model structure corresponds to an auto-regressive with exogenous inputs (ARX) description, for which parameters are estimated ...
doi:10.1109/tbme.2007.896593
pmid:18075036
fatcat:etlyzelnejck7lu662rievcfxu
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