MATHEMATICAL FRAMEWORKS OF STATISTICAL DESIGN OF THE MEASUREMENT SYSTEMS

A. A. Platonov

Abstract

In the paper, there are discussed the backgrounds of unified approach to the analysis and statistical synthesis of optimal (best in the given conditions) analogue- digital measurement systems (MS), working in a presence of noises, random disturbances and observation errors. Methods of derivation of equations and algorithms for optimal estimation of measurands and for adaptive control the measurement experiment are presented. Apart from optimal software, the obtained results determine optimal structure, characteristics, the way of functioning and locked interaction of the main elements of analogue and digital parts of the MS. The approach enables effective mathematical support of the MS design at the most responsible, initial phase of design. It may also serve as a basis for development of more efficient, mathematically argued computer – aided methods of the MS design.

Keywords

optimal synthesis of MS, Bayesian approach, adaptive measurements

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IMEKO-WC-2000-EVL-P543.pdf

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