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Rela-time midcourse guidance robust to missile launch conditioons

机译:实时中途制导对导弹发射条件具有鲁棒性

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摘要

In this paper, an rela-time suboptimal midcourse guidance law robust to missile launch conditions, which is a neural network approximation of the optimal feedback stragegy, is proposed. It is obtained by the appropriate representation of input data of the neural network, which guarantees robustness. Computer simulations show that the proposed guidance law alows the missile to intercept a given target almost exactly with only a limited number of the neural network weights.
机译:本文提出了一种对导弹发射条件具有鲁棒性的相对时间次优中段制导律,即最优反馈策略的神经网络近似。它是通过神经网络输入数据的适当表示而获得的,从而保证了鲁棒性。计算机仿真表明,拟议的制导律允许导弹仅在有限数量的神经网络权重下几乎完全拦截给定目标。

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