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NUMERICAL METHOD BASED ON HAMILTON SYSTEM AND SYMPLECTIC ALGORITHM TO DIFFERENTIAL GAMES

机译:基于Hamilton系统和微分算法的辛算法的数值方法。

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The resolution of differential games often concerns the difficult problem of two points border value (TPBV), then ascribe linear quadratic differential game to Hamilton system. To Hamilton system, the algorithm of symplectic geometry has the merits of being able to copy the dynamic structure of Hamilton system and keep the measure of phase plane. From the viewpoint of Hamilton system, the symplectic characters of linear quadratic differential game were probed; as a try, Symplectic-Runge-Kutta algorithm was presented for the resolution of infinite horizon linear quadratic differential game. An example of numerical calculation was given, and the result can illuminate the feasibility of this method. At the same time, it embodies the fine conservation characteristics of symplectic algorithm to system energy.
机译:微分对策的分辨率通常涉及两点边界值(TPBV)的难题,然后将线性二次微分对策归因于汉密尔顿系统。对于汉密尔顿系统,辛几何算法的优点是能够复制汉密尔顿系统的动态结构并保持相平面的量度。从汉密尔顿系统的角度,探讨了线性二次微分对策的辛性;作为一种尝试,提出了Symplectic-Runge-Kutta算法来解决无限地平线线性二次微分对策。给出了数值计算的例子,结果说明了该方法的可行性。同时,它体现了辛算法对系统能量的精细守恒特性。

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