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.
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Translated from Izmeritel’naya Tekhnika, No. 9, pp. 10–14, September, 2016.
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Selezneva, M.S., Neusypin, K.A. Development of a Measurement Complex with Intelligent Component. Meas Tech 59, 916–922 (2016). https://doi.org/10.1007/s11018-016-1067-1
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DOI: https://doi.org/10.1007/s11018-016-1067-1