Preview

Devices and Methods of Measurements

Advanced search

THE COMPILATION OF SHANNON ENTROPY MEASUREMENT EQUATION FOR NONLINEAR DYNAMIC SYSTEMS BY USING THE INTERVAL ANALYSIS METHODS

Abstract

The article considers the issue of measurement of dynamic variables of open nonlinear dynamical systems. Most of real physical and biological systems in the surrounding world are the nonlinear dynamic systems. The spatial, temporal and spatio-temporal structures are formed in such systems because of dissipation. The collective effects that associated with the processes of self-organization and evolution are possible there too. The objective of this research is a compilation of the Shannon entropy measurement equations for case of nonlinear dynamical systems. It’s proposed to use the interval mathematics methods for this. It is shown that the measurement and measurement results analysis for variables with complex dynamics, as a rule, cannot be described by classical metrological approaches, that metrological documents, for example GUM, contain. The reason of this situation is the mismatch between the classical mathematical and physical approaches on the one hand and processes that occur in real dynamic systems on the other hand. For measurement of nonlinear dynamical systems variables the special measurement model and measurement results analysis model are created. They are based on Open systems theory, Dynamical chaos theory and Information theory. It’s proposed to use the fractal, entropic and temporal scales as tools for evaluation of a systems state. As a result of research the Shannon entropy measurement equations, based on interval representations of measurement results. are created, like for an individual dynamic variable as for nonlinear dynamic system. It is shown that the measurement equations, based on interval mathematics methods, contains the exact solutions and allows take into account full uncertainty. The new results will complement the measurement model and the measurement results analysis model for case of nonlinear dynamic systems.

About the Authors

Yu. P. Machekhin
Kharkov National University of Radioelectronics
Ukraine


Yu. S. Kurskoy
Kharkov National University of Radioelectronics
Ukraine
Address for correspondence: Kurskoy Yu.S. Kharkov National University of Radioelectronics, Lenin Ave., 14, 61166, Kharkov, Ukraine e-mail: kurskoy@rambler.ru


References

1. ISO/IEC Guide 98-1:2009 Uncertainty of measurement – Part 1: Introduction to the expression of uncertainty in measurement: standard / ISO, Geneva, 27.08.2009.

2. ISO/IEC Guide 98-3:2008/Suppl.1:2008/ Cor.1:2009 Uncertainty of measurement – Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) – Supplement 1: Propagation of distributions using a Monte Carlo method – Technical Corrigendum 1: standard / ISO, Geneva, 07.05.2009.

3. Shuster H. Determinirovannyj haos, vvedeniye [Deterministic chaos An Introduction]. Moscow, Мir Publ., 1988, 253 p. (in Russian).

4. Trubeckov D.I., Mchedlova E.S., Krasavchikov L.V. Vvedeniye v teoriyu samoorganizatsii otkrytykh sistem [Introduction to the self-organization theory for open systems]. Moscow, Fizmatlit Publ., 2005, 200 p. (in Russian).

5. Fisher W.P. New metrological horizons: invariant reference standards for instruments measuring human, social, and natural capital. New metrological horizons: invariant reference standards for instruments measuring human, social, and natural capital: materials of 12th IMEKO TC1 & TC7 Joint Symposium on Man Science & Measurement, Annecy, France, 2008, pp. 51–58.

6. Machekhin Yu.P., Kurskoy Yu.S. [Model of measurement of nonlinear dynamic systems parameters]. Sistemy obrabotki informacii, 2012, no. 1 (99), pp.169–175 (in Russian).

7. Machekhin Yu.P., Kurskoy Yu.S. [Analysis of measurements results in nonlinear dynamic systems]. Sistemy obrabotki informacii, 2012, no. 7 (105), pp. 117–122 (in Russian). 8. Machekhin Yu.P. Fractal scale for measurement time series. Measurement Techniques, 2009, vol. 52, no. 8, pp. 835–840.

8. Machekhin Yu.P., Kurskoy Yu.S. Fractal-entropy analysis of measurement results in nonlinear dynamical systems. Measurement Techniques, 2014, vol. 57, no. 6, pp. 609–614.

9. Granovckiy V.A. Dinamicheskiye izmereniya. Osnovy metrologicheskogo obespecheniya [Dynamic measurement. Fundamentals of metrological support], Leningrad, Energoatomizdat Publ., 1984, 224 p. (in Russian).

10. Dobronetc B.C. Intervalnaya matematika [Interval mathematics], Krasnoyarsk, SFU, 2007, 216 p. (in Russian).

11. Shennon K. Raboty po teorii informatsii i kibernetike [Works on information theory and cybernetics], Moscow, IIL, 1963, 832 p. (in Russian)


Review

For citations:


Machekhin Yu.P., Kurskoy Yu.S. THE COMPILATION OF SHANNON ENTROPY MEASUREMENT EQUATION FOR NONLINEAR DYNAMIC SYSTEMS BY USING THE INTERVAL ANALYSIS METHODS. Devices and Methods of Measurements. 2015;6(2):257-263. (In Russ.)

Views: 3000


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2220-9506 (Print)
ISSN 2414-0473 (Online)