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Adaptive Identification of Nonstationary Technological Processes with Markov Parameters in Stochastic Control Problems

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Abstract

An adaptive approach to the identification of nonstationary technological processes with Markov parameters is put forward, which relies on the use of the local identification in the problems of stochastic control. A two-loop system of adaptive control with a group of experts (decision-makers) in the outer loop is considered, which accounts for specific features of the applied field of investigations.

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REFERENCES

  1. Raibman, N.S. and Chadeev, V.M., Postroenie modelei protsessov proizvodstva (Construction of Models of Production Processes), Moscow: Energiya, 1975.

    Google Scholar 

  2. Tsypkin, Ya.Z., Informatsionnaya teoriya identifikatsii (Information Theory of Identification), Moscow: Nauka, 1995.

    Google Scholar 

  3. Ifermann, R., Digital Control Systems, Berlin: Springer-Verlag, 1981. Translated under the title Tsifrovye sistemy upravleniya, Moscow Mir, 1984.

    Google Scholar 

  4. Osnovy upravleniya tekhnologicheskimi protsessami (Basics of Control of Technological Processes), Raibman, N.S., Ed., Moscow: Nauka, 1978.

    Google Scholar 

  5. Eykhoff, P., System Identification Parameters and State Estimation, New York: Wiley, 1974. Translated under the title Osnovy identifikatsii sistem, Moscow, Mir, 1975.

    Google Scholar 

  6. Saridis, J., Self-Organizing Control of Stochastic Systems, New York: Marcel Dekker, 1977. Translated under the title Samoorganizuyushchiesya stokhasticheskie sistemy upravleniya, Moscow, Nauka, 1980.

    Google Scholar 

  7. Ljung, L. and Gunnarsson, S., Adaptation and Tracking in System Identification. A Survey, Automatica, 1990, vol. 26, no. 1, pp. 7–21.

    Google Scholar 

  8. Mikhailov, F.A., Teoriya i metody issledovaniya nestatsionarnykh lineinykh sistem (The Theory and Methods of Investigation of Nonstationary Linear Systems), Moscow: Nauka, 1986.

    Google Scholar 

  9. Ljung, L., System Identification: Theory for the User, Englewood Cliffs: Prentice Hall, 1987.

    Google Scholar 

  10. Spravochnik po teorii avtomaticheskogo upravleniya (A Handbook of the Theory of Automatic Control), Krasovskii, A.A., Ed., Moscow: Nauka, 1987.

    Google Scholar 

  11. Ostrovskii, M.Ya. and Chechurin, S.L., Statsionarnye modeli sistem avtomaticheskogo upravleniya s periodicheskimi parametromi (Stationary Models of Automatic Control Systems with Periodic Coefficients), Leningrad: Energoatomizdat, 1989.

    Google Scholar 

  12. Anoshin, I.M. and Merzhanian, A.A., Fizicheskie protsessy vinodeliya (Physical Processes of Wine-Making), Moscow: Pishchevaya Promyshlennost', 1976.

    Google Scholar 

  13. Getmanov, V.G., Zhirov, M.V., and Shakhovskoi, A.V., Identification Control of Thermal Parameters and Control of Temperature Patterns of Inertial Thermal Objects, Kontrol'. Diagnostika, 2000, no. 5, pp. 22–26.

  14. Zhirov, M.V. and Shakhovskoi, A.V., Development of an Adaptive Computer System of Control of Thermal Treatment of Wine Materials, Vinograd Vino Rossii, 2000, no. 2, pp. 33–35.

  15. Getmanov, V.G., Zhirov, M.V., and Shakhovskoi, A.V., Identification Algorithms for a Linear Discrete Dynamic Control System, Avtom. Telemekh., 2001, no. 4, pp. 27–34.

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Zhirov, M.V., Makarov, V.V. Adaptive Identification of Nonstationary Technological Processes with Markov Parameters in Stochastic Control Problems. Automation and Remote Control 63, 220–233 (2002). https://doi.org/10.1023/A:1014243523920

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