Adaptive Tracking Constrained Controller Design for Solid Oxide Fuel Cells Based on a Wiener-Type Neural Network

In order to solve the control problem of the solid oxide fuel cell(SOFC), a novel adaptive tracking constrained control strategy based on a Wiener-type neural network is proposed in this paper. The working principle of SOFC is introduced, and the dynamical model of SOFC is studied. Besides, a Wiener...

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Bibliographic Details
Main Authors: Yan Xia, Jianxiao Zou, Wenxu Yan, Huayin Li
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Applied Sciences
Subjects:
Online Access:http://www.mdpi.com/2076-3417/8/10/1758