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RELAXED MINIMAX CONTROL

机译:放松的MINIMAX控制

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摘要

The relaxation of the optimal control problem with cost functional which is the supremum in time of some function h(t, x, z) is determined. The trajectory is convexified in the usual way but the cost functional is convexified in a nonobvious manner. Thus, if the original value function is V(t, z) = inf zeta is an element of Zh(s,xi(s),zeta(s))L(infinity),T, then the relaxed value function is [GRAPHICS] where the inner norm is the essential sup of h over z is an element of Z with respect to the measure mu(s). We prove that V and (
机译:确定具有成本函数的最优控制问题的松弛,成本函数是某些函数h(t,x,z)在时间上的最高值。轨迹以常规方式凸出,但成本函数以非显而易见的方式凸出。因此,如果原始值函数为V(t,z)= inf zeta是Z h(s,xi(s),zeta(s)) L(无穷) t,T 的元素,则松弛值函数为[GRAPHICS],其中内部范数是h的基本前提,而z是相对于度量mu而言Z的元素。我们证明V和(

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