Mario Aguilera-Ruiz, L. Torres-Treviño, A. Rodríguez-Liñán
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引用次数: 2
Abstract
In this paper, a maximum sensibility neural network is proposed to make an online learning system of a inverse controller of a plant. This neural network is trained to learn the response of the plant to different random inputs. Once the network is trained, it can be used to control the plant to a desired output.
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