Random information horizon for a class of differential games with continuous updating

Authors

  • Anna V. Tur St Petersburg State University, 7-9, Universitetskaya nab., St Petersburg, 199034, Russian Federation https://orcid.org/0000-0003-1296-1231
  • Ovanes L. Petrosian St Petersburg State University, 7-9, Universitetskaya nab., St Petersburg, 199034, Russian Federation https://orcid.org/0000-0001-7908-2261

DOI:

https://doi.org/10.21638/11701/spbu10.2022.304

Abstract

In the paper we consider a class of the differential games with continuous updating with random information horizon. It is assumed that at each time instant, players have information about the game (motion equations and payoff functions) for a time interval with the length theta and as the time evolves information about the game updates. We first considered this type of games in 2019. Here we additionally assume that theta is a random variable. The subject of the current paper is definition of Nash equilibrium based solution concept and solution technique based on Hamilton—Jacobi—Bellman equations.

Keywords:

differential games with continuous updating, Nash equilibrium, Hamilton — Jacobi — Bellman equation, random information horizon

Downloads

Download data is not yet available.
 

References

Kuchkarov I., Petrosian O. On class of linear quadratic non-cooperative differential games with continuous updating. Lecture Notes in Computer Science, 2019, vol. 11548, pp. 635-650.

Petrosian O., Tur A. Hamilton — Jacobi — Bellman equations for non-cooperative differential games with continuous updating. Mathematical Optimization Theory and Operations Research. MOTOR 2019. Ed. by I. Bykadorov, V. Strusevich, T. Tchemisova. Communications in Computer and Information Science, 2019, vol. 1090, pp. 178-191.

Kuchkarov I., Petrosian O. Open-loop based strategies for autonomous linear quadratic game models with continuous updating. Mathematical Optimization Theory and Operations Research. MOTOR 2020. Ed. by A. Kononov, M. Khachay, V. Kalyagin, P. Pardalos. Lecture Notes in Computer Science, 2020, vol. 12095, pp. 212-230.

Wang Z., Petrosian O. On class of non-transferable utility cooperative differential games with continuous updating. Journal of Dynamics & Games, 2020, vol. 7, no. 4, pp. 291-302. https://doi.org/10.3934/jdg.2020020

Shi L., Petrosian O. L., Boiko A. V. Looking forward approach for dynamic cooperative advertising game model. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2019, vol. 15, iss. 2, pp. 221-234. https://doi.org/10.21638/11702/spbu10.2019.206

Petrosyan L.A., Murzov N.V. Game-theoretic problems in mechanics. Lithuanian Mathematical Collection, 1966, vol. 3, pp. 423-433.

Petrosyan L. A., Shevkoplyas E. V. Cooperative differential games with random duration. Vestnik of Saint Peterburg University. Series 1. Mathematics. Mechanics. Astronomia, 2000, iss. 4, pp. 18-23.

Shevkoplyas E.V. The Hamilton — Jacobi — Bellman equation for a class of differential games with random duration. Autom. Remote Control, 2014, vol. 75, pp. 959-970. https://doi.org/10.1134/S0005117914050142

Bellman R. Dynamic programming. Princeton, Princeton University Press, 1957, 342 p.

Dockner E. J., Jorgensen S., Long N.V., Sorger G. Differential games in economics and management science. Cambridge, Cambridge University Press, 2000, 382 p.

Kostyunin S., Palestini A., Shevkoplyas E. A differential game-based approach to extraction of exhaustible resource with random terminal instants. Contributions to Game Theory and Management, 2012, vol. 5, pp. 147-155.

Petrosian O., Tur A., Wang Z., Gao H. Cooperative differential games with continuous updating using Hamilton—Jacobi—Bellman equation. Optimization methods and software, 2020, pp. 1099-1127. https://doi.org/10.1080/10556788.2020.1802456

Downloads

Published

2022-09-29

How to Cite

Tur, A. V., & Petrosian, O. L. (2022). Random information horizon for a class of differential games with continuous updating. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 18(3), 337–346. https://doi.org/10.21638/11701/spbu10.2022.304

Issue

Section

Applied Mathematics