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High order structure preserving explicit methods for solving linear-quadratic optimal control problems

机译:高阶结构保留显式方法求解线性二次最优控制问题

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We consider the numerical integration of linear-quadratic optimal control problems. This problem requires the solution of a boundary value problem: a non-autonomous matrix Riccati differential equation (RDE) with final conditions coupled with the state vector equation with initial conditions. The RDE has positive definite matrix solution and to numerically preserve this qualitative property we propose first to integrate this equation backward in time with a sufficiently accurate scheme. Then, this problem turns into an initial value problem, and we analyse splitting and Magnus integrators for the forward time integration which preserve the positive definite matrix solutions for the RDE. Duplicating the time as two new coordinates and using appropriate splitting methods, high order methods preserving the desired property can be obtained. The schemes make sequential computations and do not require the storrage of intermediate results, so the storage requirements are minimal. The proposed methods are also adapted for solving linear-quadratic N-player differential games. The performance of the splitting methods can be considerably improved if the system is a perturbation of an exactly solvable problem and the system is properly split. Some numerical examples illustrate the performance of the proposed methods.
机译:我们考虑线性二次最优控制问题的数值积分。这个问题需要解决一个边值问题:具有最终条件的非自治矩阵Riccati微分方程(RDE)与具有初始条件的状态矢量方程。 RDE具有正定矩阵解,并且为了在数值上保留此定性性质,我们建议首先使用足够精确的方案及时向后积分该方程。然后,这个问题变成了一个初值问题,我们分析了前向时间积分的分裂和马格努斯积分器,它们保留了RDE的正定矩阵解。将时间复制为两个新坐标,并使用适当的拆分方法,可以获得保留所需属性的高阶方法。该方案进行顺序计算,不需要存储中间结果,因此存储要求最小。提出的方法也适用于求解线性二次N玩家差分博弈。如果系统干扰了一个完全可解决的问题,并且系统进行了适当的拆分,则拆分方法的性能可以得到显着提高。一些数值示例说明了所提出方法的性能。

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