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A structured PENN controller for a MIMO process

机译:用于MIMO过程的结构化宾文控制器

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This paper presents a neural net controller for a multi-input, multi-output (MIMO) process. This controller is based on the PENN (Policy and Experience driven Neural Network) method and is structured with small controllers for SISO processes. The characteristic feature of this scheme is that these PENN controllers cooperate with each other and search for the best cooperation. The simulation results of a crystal-growth process indicate that the proposed controller has the ability to learn the interactions between control variables.
机译:本文介绍了一种用于多输入,多输出(MIMO)过程的神经网络控制器。该控制器基于PENN(策略和经验驱动的神经网络)方法,并具有用于SISO过程的小型控制器。该方案的特征是这些Penn控制器彼此配合并搜索最佳合作。晶体生长过程的仿真结果表明,所提出的控制器具有学习控制变量之间的相互作用的能力。

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