«THE BULLETIN OF IRKUTSK STATE UNIVERSITY». SERIES «MATHEMATICS»
«IZVESTIYA IRKUTSKOGO GOSUDARSTVENNOGO UNIVERSITETA». SERIYA «MATEMATIKA»
ISSN 1997-7670 (Print)
ISSN 2541-8785 (Online)

List of issues > Series «Mathematics». 2026. Vol 56

A Technique of Nonlocal Search in Optimal Control Problems Based on the Hidden Convexity Property

Author(s)

Tatiana S. Zarodnyuk

Matrosov Institute for System Dynamics and Control Theory SB RAS, Irkutsk, Russian Federation

Abstract
A non-local search method for extremum in nonlinear optimal control problems is developed, based on the use of the property of hidden convexity of the set of admissible velocities of controlled dynamic systems. Extended optimal control problems are formed, which in some cases can be characterized by convex reachable sets. Five variants of the convexification method of the initial optimal control problem are proposed, depending on the way of accounting for the constraints on auxiliary controls. The results of computational experiments on a test collection of nonlinear optimal control problems with geometric constraints are presented. Conclusions are formulated based on the obtained experimental experience and the use of the expansion correctness criterion. The proposed approach allows for the convexification of the velocity set and expands the applicability of numerical optimization methods in the study of non-convex optimal control problems.
About the Authors
Tatiana S. Zarodnyuk, Cand. Sci. (Tech.), Senior Research Scientist, Matrosov Institute for System Dynamics and Control Theory SB RAS, Irkutsk, 664033, Russian Federation, tz@icc.ru
For citation
Zarodnyuk T. S. A Technology of Nonlocal Search in Optimal Control Problems Based on the Hidden Convexity Property. The Bulletin of Irkutsk State University. Series Mathematics, 2026, vol. 56, pp. 19–32. (in Russian) https://doi.org/10.26516/1997-7670.2026.56.19
Keywords
nonlinear optimal control problem, hidden convexity property, Gamkrelidze extension, admissible velocities set
UDC
517.977
MSC
49J15, 49M37, 90C26
DOI
https://doi.org/10.26516/1997-7670.2026.56.19
References
  1. Alekseev V.M., Tixomirov V.M., Fomin S.V. Optimalnoe upravlenie [Optimal control]. Moscow, Nauka Publ., 1979, 420 p. (in Russian)
  2. Afanasev V.N., Kolmanovskij V.B., Nosov V.R. Matematicheskaya teoriya konstruirovaniya sistem upravleniya [Mathematical Theory of Control Systems Design]. Moscow, Vysshaya shkola Publ., 2003, 614 p. (in Russian)
  3. Bellman R. Dinamicheskie programmirovanie [Dynamic programming]. Moscow, Nauka Publ., 1976. 352 p. (in Russian)
  4. Vasilev O.V., Arguchintsev A.V. Metody optimizatsii v zadachakh i uprazhneniyakh [Optimization Methods: Problems and Exercises]. Moscow, Fizmatlit Publ., 1999, 208 p. (in Russian)
  5. Gamkrelidze R.V. Osnovy optimalnogo upravleniya [Principles of Optimal Control]. Tbilisi, Tbilisi Univ. Publ., 1977, 253 p. (in Russian)
  6. Gornov A.Yu. Vychislitelnye tekhnologii resheniya zadach optimalnogo upravleniya [Computational Technologies for Solving Optimal Control Problems]. Novosibirsk, Nauka Publ., 2009, 279 p. (in Russian)
  7. Gornov A.Yu., Daneyeva A.V. Podkhod k issledovaniyu nevypuklykh zadach optimalnogo upravleniya s parallelepipednymi ogranicheniyami [An approach to the study of nonconvex optimal control problems with box constraints]. Vestnik Buryatskogo universiteta. Ser. Matematika i informatika, 2005, no. 2, pp. 122–130. (in Russian)
  8. Gornov A.Yu., Zarodnyuk T.S. Metod krivolineynogo poiska globalnogo ekstremuma v zadache optimalnogo upravleniya [Curvilinear search method for the global extremum in optimal control problems]. Sovremennye tekhnologii. Sistemnyy analiz. Modelirovaniye, 2009, no. 3, pp. 19–27. (in Russian)
  9. Gurman V.I., Baturin V.A., Rasina I.V. Priblizhennye metody optimalnogo upravleniya [Approximate optimal control methods]. Irkutsk, Irkutsk Univ. Publ., 1983, 178 p. (in Russian)
  10. Dikusar V.V., Milyutin A.A. Kachestvennye i chislennye metody v principe maksimuma [Qualitative and Numerical Methods in the Maximum Principle]. Moscow, Nauka Publ., 1989, 144 p. (in Russian)
  11. Dykhta V.A. Nekotorye prilozheniya neravenstv Gamiltona–Yakobi v optimalnom upravlenii [Some applications of Hamilton–Jacobi inequalities in optimal control] The Bulletin of Irkutsk State University. Series Mathematics, 2009, no. 1 (2), pp. 183–196.
  12. Zhiglyavsky A.A., Zhilinskas A.G. Metody poiska globalnogo ekstremuma [Methods for Searching the Global Extremum]. Moscow, Nauka Publ., 1991, 248 p. (in Russian)
  13. Clark F. Optimizatsiya i negladkiy analiz [Optimization and Nonsmooth Analysis]. Moscow, Nauka Publ., 1988, 280 p. (in Russian)
  14. Mordukhovich B.Sh. Metody approksimatsiy v zadachakh optimizatsii i upravleniya [Approximation Methods in Problems of Optimization and Control]. Moscow, Nauka Publ., 1988, 360 p. (in Russian)
  15. Pontryagin L.S., Boltyanskij V.G., Gamkrelidze R.V., Mishhenko E.F. Matematicheskaya teoriya optimalnyh processov [Mathematical theory of optimal processes]. Moscow, Nauka Publ., 1976. (in Russian)
  16. Srochko V.A. Iteratsionnye metody resheniya zadach optimalnogo upravleniya [Iterative Methods for Solving Optimal Control Problems]. Moscow, Fizmatlit Publ., 2000, 160 p. (in Russian)
  17. Tolstonogov A.A. Differentsialnye vklyucheniya v banakhovom prostranstve [Differential Inclusions in a Banach Space]. Novosibirsk, Nauka Publ., 1986, 296 p. (in Russian)
  18. Tyatyushkin A.I. Chislennye metody i programmnye sredstva optimizatsii upravlyaemykh sistem [Numerical Methods and Software for Optimizing Controlled Systems]. Novosibirsk, Nauka Publ., 1992, 193 p. (in Russian)
  19. Floudas C.A., Gounaris C.E. A review of recent advances in global optimization. Journal of Global Optimization, 2009, no. 1 (45), pp. 3–38. https://doi.org/10.1007/s10898-008-9332-8
  20. Gornov A.Y., Zarodnyuk T.S., Madzhara T.I., Daneyeva A.V., Veyalko I.A. A Collection of Test Multiextremal Optimal Control Problems. Chinchuluun A. et al. (eds.) Optimization, Simulation, and Control. New York, Springer Publ., 2013, vol. 76, pp. 257–274. https://doi.org/10.1007/978-1-4614-5131-0_16
  21. Krotov V.F. Global Methods in Optimal Control Theory. New York, Marcel Dekker Inc., 1996, 384 p.
  22. Zarodnyuk T.S., Gornov A.Yu. Computing technique based on multistart method for obtaining global extremum in optimal control problems. J. Glob. Optim., 2015.
  23. Zhigljavsky A., Zilinskas A. Stochastic Global Optimization. New York, Springer Publ., 2008.

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