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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/J Automat Inf Scien.v38.i1.60
pages 57-67

Measurable Many-Valued Maps and Their Selectors in Dynamic Pursuit Games

Arkadiy A. Chikriy
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev, Ukraine
Iosif S. Rappoport
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kiev

ABSTRACT

The general method of solving quasilinear pursuit game problems is given. It is based upon the method of resolving functions. The proposed scheme covers the wide range of conflict-controlled functional-differential systems. The analysis of different forms of resolving functions enables to clarify what kind of information is necessary for successful termination of the game under study.


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