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 languageEnglish
Pages (from-to)413-417
Number of pages5
JournalIFAC-PapersOnLine
Volume51
Issue number32
DOIs
StatePublished - 2018
Event17th IFAC Technical-Committee-on-Optimal-Control (TC 2.4) Workshop on Control Applications of Optimization (CAO) - Россия, Yekaterinburg, Russian Federation
Duration: 15 Oct 201819 Dec 2018
Conference number: 17
https://www.ipu.ru/node/43678

    Research areas

  • Differential games, Game theory, Predictive control

    Scopus subject areas

  • Control and Systems Engineering

ID: 36759101