Measurement Techniques

, Volume 59, Issue 9, pp 916–922 | Cite as

Development of a Measurement Complex with Intelligent Component


A method of constructing a selective measurement complex with variable structure is investigated. A measurement complex with intelligent component consisting of algorithms for the construction of predictive models and the comparison of a prediction with the current result of measurements is developed for precision determination of the parameters of a dynamic object. The algorithmic support of the complex is constructed on the basis of the Anokhin theory of functional systems with the use of a scalar estimation algorithm, self-organization algorithm with trend back-up, and criterion expressed as the degree of observability of the state variables. Models with elevated degrees of observability of the state variables are used in the information processing algorithms.


measurement complex navigation system intelligent system self-organization algorithm predictive model degree of observability criterion 


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  1. 1.Bauman Moscow State Technical UniversityMoscowRussia

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