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A comparative study of multilayered and single layered neural network based predictive controllers

机译:多层和单层神经网络的预测控制器的比较研究

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The authors compare the performance of two types of controllers one based on the multilayered network and the other based on the single layered CMAC network (cerebellar model articulator controller). The neurons (information processing units) in the multi-layered network use Gaussian activation functions. The control scheme which is considered is a predictive control algorithm, along the lines used by Willis et al. (1991), Kambhampati and Warwick (1991). The process selected as a test bed is a continuous stirred tank reactor. The reaction taking place is an irreversible exothermic reaction in a constant volume reactor cooled by a single coolant stream. This reactor is a simplified version of the first tank in the two tank system given by Henson and Seborg (1989).
机译:作者基于单层CMAC网络(小脑模型铰接器控制器)比较两种类型的控制器一个基于多层网络的控制器的性能。多层网络中的神经元(信息处理单元)使用高斯激活功能。考虑的控制方案是沿Willis等人使用的线路的预测控制算法。 (1991年),肯汉普利和沃里克(1991年)。选择作为试验床的方法是连续的搅拌釜反应器。发生的反应是通过单个冷却剂流冷却的恒定体积反应器中的不可逆放热反应。该反应堆是Henson和Seborg(1989)给出的两个罐系统中第一罐的简化版本。

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