2013
DOI: 10.1016/j.jmaa.2013.04.075
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The Kalman filter for linear systems on time scales

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Cited by 33 publications
(12 citation statements)
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“…Taking into account the characteristics of the quantities constituting the measurement environment where the measuring instruments under consideration operate, it can be concluded that the best form of eliminating the influence of the interference sources is the Kalman filter. The characteristics of this algorithm fit very well into the solution of a number of problems emerging in the process of optimization of the accuracy characteristics of the measuring instruments defining the parameters of the above listed moving objects [8,10,13,14,17]. Therefore, a module for signal processing by means of the Kalman algorithm is included in each measurement channel of the block diagram (Fig.2.).…”
Section: A Measuring System For Determining the Heel And Trim Of A Momentioning
confidence: 94%
“…Taking into account the characteristics of the quantities constituting the measurement environment where the measuring instruments under consideration operate, it can be concluded that the best form of eliminating the influence of the interference sources is the Kalman filter. The characteristics of this algorithm fit very well into the solution of a number of problems emerging in the process of optimization of the accuracy characteristics of the measuring instruments defining the parameters of the above listed moving objects [8,10,13,14,17]. Therefore, a module for signal processing by means of the Kalman algorithm is included in each measurement channel of the block diagram (Fig.2.).…”
Section: A Measuring System For Determining the Heel And Trim Of A Momentioning
confidence: 94%
“…The purpose of this theory is to unify discrete and continuous analysis and to offer an extension to cases "in between". Many applications in mathematical modelling exist for this theory, e.g., to optimal control [5,18,19,20,21,29], population biology [9], calculus of variations [8,10,13], and economics [4,11,14,15,34].…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of this theory is to unify discrete and continuous analysis and to offer an extension to cases "in between". Many applications in mathematical modelling exist for this theory, e.g., to optimal control [2,[15][16][17][18]25], population biology [6], calculus of variations [5,7,10], and economics [1,8,11,12,26].…”
Section: Introductionmentioning
confidence: 99%