costate

A new costate prediction method of optimal control based on the bilinear model

基于双线性模型的新协状态预测算法

A four-level algorithm to improve the convergence of the three-level costate prediction method

改进三级共态预估法收敛性能的四级算法

We introduce the costate equation with clamped boundary conditions , and develop the system of optimality equations consisting of state and costate function .

引入具有固支边界条件的共态方程，建立由状态函数和共态函数构成的最优性方程组。

Mosses having costate leaves and long-stalked capsules with cleft peristome .

有主叶脉的苔和有裂缝口缘长茎蒴果。

The four - level algorithm given in this paper is a hierarchical algorithm which is developed from the three-level costate prediction method of Hassan-Singh for solving large-scale non-linear dynamical system problems .

本文提出的四级算法是一种由Hassan-Singh的三级共态（？）法发展起来的、解大规模非线性动态系统问题的递阶算法。

Prom the optimality system we discover that the vortex function relative to the costate equation is just equal to some multiple of the control function on the boundary in the optimal sense , which automatically generate a suitable gradient .

通过最优性系统发现，在最优性条件下边界上对应于共态方程的涡流函数恰好等于边界控制函数的某一倍数，这样自动产生了合适的梯度。

Combinig the strategies of costate prediction approach by Hassan and Singh and the time-delay coordination algorithm by Tamura , the variable prediction-time decomposition technique is put forward . Using the technique , the nonlinear three-level hierarchical optimization structure is formulated .

文中将Hassan共态预测法和Tamura时延算法的主要思想相结合，提出和使用了预测变量一时间分解方法，导出了非线性三级递阶优化结构。