Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
This paper is devoted to a new class of differential games with continuous updating. It is assumed that at each time instant, players have or use information about the game defined on a closed time interval. However, as the time evolves, information about the game updates, namely, there is a continuous shift of time interval, which determines the information available to players. Information about the game is the information about motion equations and payoff functions of players. For this class of games, the direct application of classical approaches to the determination of optimality principles such as Nash equilibrium is not possible. The subject of the current paper is the construction of solution concept similar to Nash equilibrium for this class of differential games and corresponding optimality conditions, in particular, modernized Hamilton-Jacobi-Bellman equations.
Original language | English |
---|---|
Title of host publication | Mathematical Optimization Theory and Operations Research - 18th International Conference, MOTOR 2019, Revised Selected Papers |
Editors | Igor Bykadorov, Vitaly Strusevich, Tatiana Tchemisova |
Publisher | Springer Nature |
Pages | 178-191 |
Number of pages | 14 |
ISBN (Print) | 9783030333935 |
DOIs | |
State | Published - 1 Jan 2019 |
Event | 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019 - Ekaterinburg, Russian Federation Duration: 8 Jul 2019 → 12 Jul 2019 |
Name | Communications in Computer and Information Science |
---|---|
Volume | 1090 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference | 18th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2019 |
---|---|
Country/Territory | Russian Federation |
City | Ekaterinburg |
Period | 8/07/19 → 12/07/19 |
ID: 51526834