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44.690  Articles
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The parameter estimation of unstable aircraft using extreme learning machine method is presented. In the past, conventional methods such as output error method, filter error method, equation error method and non-conventional method such as artificial neur... see more

Aerodynamic parameter estimation involves modelling of force and moment coefficients and computation of stability and control derivatives from recorded flight data. This problem is extensively studied in the past using classical approaches such as output ... see more

The real-time open-loop parameter estimation of unstable/augmented aircraft is essential forreconfigurable/adaptive control. This paper describes two parameter estimation algorithms basedon the equation-error minimisation principle. One is the recently de... see more

Autoregressive moving average (ARMA) modeling has been used in many fields. This paper presents an approach to time series analysis of a general ARMA model parameters estimation. The proposedtechnique is based on the singular value decomposition (SVD) of ... see more

Power grids are insufficiently equipped with means of monitoring of operating parameters. The infrastructure of commercial power consumption accounting systems is the most developed. However, power consumption information is stored in the aggregated form.... see more

The double sampling (DS) X bar chart, one of the most widely-used charting methods, is superior for detecting small and moderate shifts in the process mean. In a right skewed run length distribution, the median run length (MRL) provides a more credible re... see more

Space Time Auto Regressive(1;1)  Model or STAR(1;1)  model is a form of model that involves location and time. The STAR(1;1)  model is a stationary space time model in mean and variance. The STAR model can be used to forecast future observa... see more

Ad hoc methods in the choice of smoothing parameter in kernel density estimation, al­though often used in practice due to their simplicity and hence the calculated efficiency, are char­acterized by quite big error. The value of the smoothing parameter cho... see more

A Gaussian distribution is used by all traditional underwater acoustic signal processors, thus neglecting the impulsive property of ocean ambient noise in shallow waters. Undoubtedly, signal processors designed with a Gaussian model are sub-optimal in the... see more

1 of 4.469 pages  |  10  records  |  more records»