First order necessary optimal conditions in Gursat-Darboux stochastic systems

R. Mastaliyev
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Abstract

For optimal control problems, described by the Gursat-Darboux stochastic system, a number of first-order necessary optimality conditions are formulated and proved, which are the stochastic analogue - the Pontryagin maximum principle, the linearized maximum principle and the Euler equation.
Gursat-Darboux随机系统的一阶必要最优条件
对于Gursat-Darboux随机系统所描述的最优控制问题,给出并证明了一阶必要最优性条件,即随机模拟- Pontryagin极大值原理、线性化极大值原理和Euler方程。
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