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An application of particle filter for FDI oriented change detection and bounded parameter estimation
(IEEE, 2007)
In their original formulations, state estimation schemes such as Kalman Filter, do not allow the incorporation of prior information on their physical bounds. This results in a certain probability of generating estimates ...
A neural network approach for robust nonlinear parameter estimation in presence of unknown-but-bounded errors
(Elsevier B.V., 2000-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. This paper presents a ...
Preliminary results concerning the VSS X- chart with unknow in-control parameters
(2010-12-01)
The VSS X- chart is known to perform better than the traditional X- control chart in detecting small to moderate mean shifts in the process. Many researchers have used this chart in order to detect a process mean shift ...
Preliminary results concerning the VSS X- chart with unknow in-control parameters
(2010-12-01)
The VSS X- chart is known to perform better than the traditional X- control chart in detecting small to moderate mean shifts in the process. Many researchers have used this chart in order to detect a process mean shift ...
A protocol for the estimation of parameters in process models: Case studies with polymerization scenarios
(Wiley-blackwellMaldenEUA, 2004)
The Variable Sample Size (X)over-bar Chart with Estimated Parameters
(Wiley-Blackwell, 2012-11-01)
The VSS X chart, dedicated to the detection of small to moderate mean shifts in the process, has been investigated by several researchers under the assumption of known process parameters. In practice, the process parameters ...
Simplified procedure to estimate the resistance parameters of transmission lines
(2013-09-01)
An alternative and simplified procedure is described to estimate the longitudinal resistances of transmission lines based on the real-time load profile. This method proposes to estimate the resistance parameters from the ...
MODEL-PARAMETER ESTIMATION USING LEAST-SQUARES
(PERGAMON-ELSEVIER SCIENCE LTD, 1992)
The use of the least-squares techniques for parameter estimation is critically evaluated by analyzing linear and non-linear models for situations in which the absolute or relative errors had a constant variance. Special ...