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JPEG-like method of control parametrization for numerical solution of the distributed optimization problems

  • Optimization, System Analysis, and Operations Research
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Abstract

The present author continued his work on the study of the control parametrization technique for solution of the distributed optimization problems. Proposed was a new method of control parametrization resembling that for information compression used in the JPEG format to reduce by the factor of several times the count of parameters describing the control without an appreciable deterioration in closeness to the optimum. Withdrawn were formulas required for application of the proposed approach to control parametrization in combination with the numerical methods of finite-dimensional optimization for solution of the mathematical programming problem approximating the original optimal control problem. The results of numerical experiments were described and analyzed in detail.

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References

  1. Volin, Yu.M. and Ostrovskii, G.M., A Method of Successive Approximations for Calculating Optimal Modes of Some Distributed-Parameter Systems, Autom. Remote Control, 1965, vol. 26, no. 7, pp. 1188–1195.

    MathSciNet  MATH  Google Scholar 

  2. Butkovskii, A.G., Teoriya optimal’nogo upravleniya sistemami s raspredelennymi parametrami (Theory of Optimal Control of the Distributed-parameter Systems), Moscow: Nauka, 1965.

    Google Scholar 

  3. Gornov, A.Yu., Numerical Methods to Study the Problems of Optimal Control in Mechanical Systems, Mekhatronika, Avtomatiz., Upravlen., 2010, no. 8 (113), pp. 2–7.

    Google Scholar 

  4. Teo, K.L., Goh, C.J., and Wong, K.H., A Unified Computational Approach to Optimal Control Problems, Pitman Monographs and Surveys in Pure and Applied Mathematics, vol. 55, Harlow: Longman, 1991.

    Google Scholar 

  5. Sadek, I. and Kucuk, I., A Robust Technique for Solving Optimal Control of Coupled Burger’s Equations, IMA J. Math. Control Inf., 2011, vol. 28, pp. 239–250.

    Article  MathSciNet  MATH  Google Scholar 

  6. Sumin, V.I., The Features of Gradient Methods for Distributed Optimal-Control Problems, USSR Comput. Math. Math. Phys., 1990, vol. 30, no. 1, pp. 1–15.

    Article  MATH  Google Scholar 

  7. Chernov, A.V., Smooth Finite Dimensional Approximations of Distributed Optimization Problems via Control Discretization, Comput. Math. Math. Phys., 2013, vol. 53, no. 12, pp. 1839–1852.

    Article  MathSciNet  Google Scholar 

  8. Chernov, A.V., On Applicability of Control Parametrization Technique to Solving Distributed Optimization Problems, Vestn. Udmurt. Univ., Mat. Mekh. Komp’yut. Nauk., 2014, no. 1, pp. 102–117.

    Article  MATH  Google Scholar 

  9. Chernov, A.V., A Majorant Criterion for the Total Preservation of Global Solvability of Controlled Functional Operator Equation, Russ. Math., 2011, vol. 55, no. 3, pp. 85–95.

    Article  MathSciNet  MATH  Google Scholar 

  10. Chernov, A.V., A Majorant-Minorant Criterion for the Total Preservation of Global Solvability of a Functional Operator Equation, Russ. Math., 2012, vol. 56, no. 3, pp. 55–65.

    Article  MATH  Google Scholar 

  11. Chernov, A.V., Sufficient Conditions for the Controllability of Nonlinear Distributed Systems, Comput. Math. Math. Phys., 2012, vol. 52, no. 8, pp. 1115–1127.

    Article  MathSciNet  MATH  Google Scholar 

  12. Chernov, A.V., On the Controllability of Nonlinear Distributed Systems on a Set of Finite-dimensional Control Approximations, Vestn. Udmurt. Univ., Mat. Mekh. Komp’yut. Nauk., 2013, no. 1, pp. 83–98.

    Article  MATH  Google Scholar 

  13. Sumin, V.I. and Chernov, A.V., Operators in Spaces of Measurable Functions: The Volterra Property and Quasinilpotency, Differ. Equat., 1998, vol. 34, no. 10, pp. 1403–1411.

    MathSciNet  MATH  Google Scholar 

  14. Selomon, D., Szhatie dannykh, izobrazhenii i zvuka (Compression of Data, Images, and Sound), Moscow: Tekhnosfera, 2004.

    Google Scholar 

  15. Ladyzhenskaya, O.A., Solonnikov, V.A., and Ural’tseva, N.N., Lineinye i kvazilineinye uravneniya parabolicheskogo tipa (Linear and Quasilinear Parabolic Equations), Moscow: Nauka, 1967.

    MATH  Google Scholar 

  16. Chernov, A.V., Chislennoe reshenie raspredelennykh zadach optimizatsii metodom parametrizatsii upravleniya (Numerical Solution of the Distributed Optimization Problems by Control Parametrization), Nizhny Novgorod: NNGU Publ.,2014.

    Google Scholar 

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Correspondence to A. V. Chernov.

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Original Russian Text © A.V. Chernov, 2017, published in Avtomatika i Telemekhanika, 2017, No. 8, pp. 145–163.

This paper was recommended for publication by P.V. Pakshin, a member of the Editorial Board

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Chernov, A.V. JPEG-like method of control parametrization for numerical solution of the distributed optimization problems. Autom Remote Control 78, 1474–1488 (2017). https://doi.org/10.1134/S0005117917080082

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  • DOI: https://doi.org/10.1134/S0005117917080082

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