
The report proposes a numerical method of Stackelberg and Nash solutions construction in a class of differential games. It is based upon results of the positional antagonistic differential games theory developed by N. N. Krasovskii and his scientific school. The method transforms a non-antagonistic game into socalled non-standard optimal control problem. Numerical solutions for Stackelberg games are constructed by an algorithm developed by S. Osipov. For Nash solution construction we build auxiliary bimatrix games sequence. Both algorithms make use of known antagonistic game value computation procedures and are ultimately based upon computational geometry algorithms including convex hull construction, union, intersection, and Minkowski sum of flat polygons. Results of numerical experiment for a material point motion in plane are presented. The point is moved by force formed by two players. Each player has his personal target point. Among the obtained results, there is a Nash solution such, that along the corresponding trajectory the position of the game is non-antagonistic at first, and then becomes globally antagonistic starting from some moment of time.
OPTIMAL CONTROL SYSTEMS, OPTIMAL CONTROL PROBLEM, ALGORITHMS, COMPUTATION THEORY, CONSTRUCTION ALGORITHMS, NASH GAMES, INTERSECTION OF POLYGONS, STACKELBERG GAMES, DIFFRENTIAL GAMES, COMPUTER GAMES, COMPUTING, COMPUTATIONAL GEOMETRY, TRAJECTORIES, COMPUTATIONAL GEOMETRY ALGORITHMS
OPTIMAL CONTROL SYSTEMS, OPTIMAL CONTROL PROBLEM, ALGORITHMS, COMPUTATION THEORY, CONSTRUCTION ALGORITHMS, NASH GAMES, INTERSECTION OF POLYGONS, STACKELBERG GAMES, DIFFRENTIAL GAMES, COMPUTER GAMES, COMPUTING, COMPUTATIONAL GEOMETRY, TRAJECTORIES, COMPUTATIONAL GEOMETRY ALGORITHMS
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
