Research output: Contribution to journal › Article › peer-review
This work is devoted to study cooperative solutions in the games with Looking Forward Approach. LFA is used for constructing game theoretical models and defining solutions for conflict-controlled processes where information about the process updates dynamically. We suppose that during the game players lack certain information about the motion equation and payoff function. At each instant players possess only the truncated information about the game structure. At a given instants information about the game updates, players receive new updated information and adapt. Described model cannot be formulized using classical differential game technics. The new resulting cooperative solution for LFA models is presented and studied. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Original language | English |
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Pages (from-to) | 413-417 |
Number of pages | 5 |
Journal | IFAC-PapersOnLine |
Volume | 51 |
Issue number | 32 |
DOIs | |
State | Published - 2018 |
Event | 17th IFAC Technical-Committee-on-Optimal-Control (TC 2.4) Workshop on Control Applications of Optimization (CAO) - Россия, Yekaterinburg, Russian Federation Duration: 15 Oct 2018 → 19 Dec 2018 Conference number: 17 https://www.ipu.ru/node/43678 |
ID: 36759101