Solving linear quadratic discrete-time optimal controls using neural networks
Solving linear quadratic discrete-time optimal controls using neural networks
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DOI：
10.1109/cdc.1990.203282
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发表时间：
1990-12
期刊：
影响因子：
--
通讯作者：
M. Lan;S. Chand
中科院分区：
文献类型：
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作者：
M. Lan;S. Chand
描述了一种利用Hopfield型神经网络实现线性二次型(LQ)最优控制的独特方法。讨论了LQ最优控制的神经网络结构，并给出了仿真结果。并讨论了将其推广到线性二次型高斯最优控制问题的求解。
The authors describe a unique implementation of linear quadratic (LQ) optimal control using the Hopfield type of neural network. They discuss the neural network architecture for LQ optimal control and present simulation results. They also discuss its extension to the solution of linear quadratic Gaussian optimal control problems.>