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A method for discrete-time linear quadratic optimal control problems of a large-scale multi-destination network and applications

机译:大规模多目标网络离散时间线性二次最优控制问题的方法及应用

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We propose a new dual projected pseudo quasi-Newton method for discrete-time linear quadratic optimal control problems of a large-scale multi-destination network. Our method has successfully overcome the difficulties caused by large dimensions and inequality constraints by having a constant Hessian matrix and an efficient successive projection method, respectively. Application of our method to the congestion control of multi-destination networks is presented. Above all, it takes less than one second to obtain the solution of a large-scale discrete-time linear quadratic optimal control problem with the problem size of 2800 variables, 700 equality constraints and 2400 inequality constraints.
机译:我们提出了一种新的双重预计伪拟牛顿方法,用于大规模多目的网的离散时间线性二次最佳控制问题。通过具有恒定的Hessian矩阵和有效的连续投影方法,我们的方法已经成功地克服了大尺寸和不等式约束引起的困难。提出了我们对多目的地网络拥塞控制的应用。最重要的是,在问题大小为2800变量的问题大小,700个平等约束和2400不等制约束,它需要不到一秒钟即可获得大规模离散时间线性二次最佳控制问题。

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