doi: 10.17586/2226-1494-2026-26-3-662-670


The abstract maximum principle and its application in the differential games theory

A. A. Vedyakov, A. O. Vedyakova, O. V. Slita, V. Y. Tertychny-Dauri


Read the full article  ';
Article in Russian

For citation:
Vedyakov A.A., Vedyakova A.O., Slita O.V., Tertychny-Dauri V.Yu. The abstract maximum principle and its application in the differential games theory. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2026, vol. 26, no. 3, pp. 662–670 (in Russian). doi: 10.17586/2226-1494-2026-26-3-662-670


Abstract
The problem of optimal control involving two opposing players is considered where optimality is understood in the minimax sense of achieving the best guaranteed outcome, and the control strategy is constructed with respect to the worst case admissible under the available measurements. The differential game problem is reduced to an optimal control synthesis problem by means of an abstract maximum principle using the method of Lagrange multipliers. A procedure is presented for applying the abstract maximum principle to the maximin formulation of the differential game problem within the Bellman framework in terms of dynamic programming. It is shown how the abstract maximum principle leads to the fundamental relations of Bellman’s optimization method for the differential game under consideration. The developed methodology for deriving optimality conditions in an antagonistic differential game using the abstract maximum principle can be applied to the analysis and design of nonlinear controlled dynamical systems with internally conflicting objectives.

Keywords: dynamic system, functional properties, Lagrange multipliers, maximum principle, differential game, optimal strategy

References
1. Subbotin A.I. Generalization of the fundamental equation of the differential game theory. Transactions (Doklady) of the USSR Academy of Sciences, 1980, vol. 254, no. 2, pp. 293–297. (in Russian)
2. SubbotinA.I. Minimax Inequations and Hamilton-Jacobi Equations. Moscow, Nauka Publ., 1991, 214 p. (in Russian)
3. Isaacs R. Differential Games: a Mathematical Theory with Applications to Warfare and Pursuit, Control and Optimization. Wiley, 1965, 384 p.
4. KrasovskyN.N., SubbotinA.I. Positional Differential Games. Moscow, Nauka Publ., 1974, 456 p. (in Russian)
5. Berkovitz L.D. Characterizations of the values of differential games. Applied Mathematics and Optimization, 1988, vol. 17, no. 2, pp. 177–183. doi: 10.1007/BF01448365
6. Evans L.C., Souganidis P.E. Differential games and representation formulas for solutions of Hamilton-Jacobi-Isaacs equations. Indiana University Mathematics Journal, 1984, vol. 33, no. 5, pp. 773–797. doi: 10.1512/iumj.1984.33.33040
7. Nikitin F.F., Chistyakov S.V. Existence and uniqueness theorem for a generalized Isaacs-Bellman equation. Differential Equation, 2007, vol. 43, no. 6, pp. 757–766. doi: 10.1134/s0012266107060031
8. Game control problems. Proceedings of the Institute of Mathematics and Mechanics, 1977, no. 24. (in Russian)
9. MatveevA.S., YakubovichV.A. Optimal Control Systems: Ordinary Differential Equations. Special Problems. St. Petersburg,SPbU Publ., 2003, 537 p.(in Russian)
10. Tertychnyi-Dauri V.Y. Polymech. Mechanical Essays. Moscow, Fizmatlit Publ., 2021, 584 p. (in Russian)
11. Tertychnyi-Dauri V.Y. Integral and integro-differential control plants: Optimality conditions. Automation and Remote Control, 2009, vol. 70, no. 10, pp. 1635–1661. doi: 10.1134/s0005117909100051
12. Babushkin M.V., Tertychny-Dauri V.Yu. Variational methods for solving problems associated with artificial intelligence. Differential Equations, 2023, vol. 59, no. 7, pp. 919–932. doi: 10.1134/S0012266123070066
13. KantorovichL.V., AkilovG.P. Functional Analysis. Moscow, Nauka Publ., 1977, 741 p. (in Russian)
14. Germeier Yu.B. Introduction to Operations Research Theory. Moscow, Nauka Publ., 1971, 383 p. (in Russian)
15. Bogatyrev A.V. Control systems and generalized Hamilton–Jacobi–Bellman equations. Automion Remote Control, 1992, vol. 53, no. 9, pp. 1335–1343.
16. Vinter R.B., Wolenski P. Hamilton-Jacobi theory for optimal control problems with data measurable in time. SIAM Journal on Control and Optimization, 1990, vol. 28, no. 6, pp. 1404–1419. doi: 10.1137/0328073


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Copyright 2001-2026 ©
Scientific and Technical Journal
of Information Technologies, Mechanics and Optics.

Яндекс.Метрика