To probabilistic description of an ensemble of trajectories to a continuous-discrete control system with incomplete information

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Abstract

A linear control system with continuous and discrete times and discrete memory is considered. The model includes an uncertainty in the description of operators implementing control actions. This uncertainty is a consequence of random disturbances under the assumption of their uniform distribution over known intervals. With each implementation a corresponding trajectory arises from random perturbations, and in the aggregate - an ensemble of trajectories, for which a component-by-component probabilistic description is given in the form of a set of probability density functions parametrized by the current time. To construct these functions, the previously obtained representation of the Cauchy operator of the system under consideration is used. The proposed probabilistic description of perturbations for trajectory variables allows one to find their standard characteristics, including expectation and variance, as well as the entire possible range of values. The results are constructive in nature and allow for effective computer implementation. An illustrative example is given.

About the authors

Vladimir P. Maksimov

Perm State National Research University

Author for correspondence.
Email: maksimov@econ.psu.ru
ORCID iD: 0000-0002-0051-3696

Doctor of Physics and Mathematics, Professor of the Information Systems and Mathematical Methods in Economics Department

Russian Federation, 15 Bukirev St., Perm 614068, Russian Federation

References

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  2. N.V. Azbelev, V.P. Maksimov, L. F. Rakhmatullina, Elements of the Contemporary Theory of Functional Differential Equations. Methods and Applications, Institute of Computer-Assisted Studies Publ., Moscow, 2002 (In Russian).
  3. V.P. Maksimov, “On a class of linear continuous-discrete systems with discrete memory”, Vestn. Udmurtsk. Univ. Mat. Mekh. Komp. Nauki, 30:3 (2020), 385–395 (In English).
  4. V.P. Maksimov, “On internal estimates of reachable sets for continuous-discrete systems with discrete memory”, Trudy Inst. Mat. i Mekh. UrO RAN, 27, 2021, 141–151 (In Russian).
  5. J. Calatayud, J.-C. Cortes, M. Jornet, A. Navarro–Quiles, “Solving random ordinary and partial differential equations through the probability density function: theory and computing with applications”, Modern Mathematics and Mechanics. Fundamentals, Problems and Challenges, Understanding Complex Systems, eds. V. Sadovnichiy, Z. Zgurovsky, Springer, Cham, 2019, 261–282.
  6. V.P. Maksimov, “Attainability values of on-target functionals in economic dynamics problems”, Applied Mathematics and Control Sciences, 2019, №4, 124–135 (In Russian).
  7. E.I. Bravyi, V.P. Maksimov, P.M. Simonov, “Some economic dynamics problems for hybrid models with aftereffect”, Mathematics, 8:10 (2020), 1832.
  8. V.P. Maksimov, “Continuous-discrete dynamic models”, Ufa Math. J., 13:3 (2021), 95–103.
  9. V.P. Maksimov, “The structure of the Cauchy operator to a linear continuous-discrete functional differential system with aftereffect and some properties of its components”, Vestn. Udmurtsk. Univ. Mat. Mekh. Komp. Nauki, 29:1 (2019), 40–51 (In English).
  10. V.P. Maksimov, “Constructive study of controllability for a class of continuous-discrete systems with an uncertainty”, Functional Differential Equations, 29:3-4 (2022), 183–195.
  11. V.Ya. Derr, Probability Theory and Mathematical Statistics, Lan’ Publ., Moscow, 2021 (In Russian).

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