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DYNAMIC PROGRAMMING AND FEEDBACK ANALYSIS OF THE TWO DIMENSIONAL TIDAL DYNAMICS SYSTEM

机译:二维潮汐动力学系统的动态编程和反馈分析

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In this work, we consider the controlled two dimensional tidal dynamics equations in bounded domains. A distributed optimal control problem is formulated as the minimization of a suitable cost functional subject to the controlled 2D tidal dynamics equations. The existence of an optimal control is shown and the dynamic programming method for the optimal control of 2D tidal dynamics system is also described. We show that the feedback control can be obtained from the solution of an infinite dimensional Hamilton-Jacobi equation. The non-differentiability and lack of smoothness of the value function forced us to use the method of viscosity solutions to obtain a solution of the infinite dimensional Hamilton-Jacobi equation. The Bellman principle of optimality for the value function is also obtained. We show that a viscosity solution to the Hamilton-Jacobi equation can be used to derive the Pontryagin maximum principle, which give us the first order necessary conditions of optimality. Finally, we characterize the optimal control using the adjoint variable.
机译:在这项工作中,我们考虑有界域中的受控二维潮汐动力学方程。分布式最佳控制问题被制定为受控2D潮汐动力学方程的合适成本函数的最小化。还描述了存在最佳控制的存在,并且还描述了用于2D潮汐动力系统的最佳控制的动态编程方法。我们表明,可以从无限维汉壁 - jacobi方程的解决方案获得反馈控制。价值函数的非差异性和缺乏平滑性强制使用粘度溶液的方法来获得无限维汉林顿 - 雅各双程的溶液。还获得了价值函数的贝尔曼最优性原理。我们表明,汉密尔顿 - 雅各比等式的粘度解决方案可用于导出髓晶素最大原则,这使我们提供了第一阶的最优性条件。最后,我们使用伴随变量表征最佳控制。

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