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�������պ����ѧѧ�� 2003, Vol. 29 Issue (7) :570-574    DOI:
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�λ�, �ź���*
�������պ����ѧ �Զ�����ѧ���������ѧԺ, ���� 100083
Fuzzy basis function network based approach for fault information detection in unknown systems
Song Hua, Zhang Hongyue*
School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� Fuzzy basis function network (FBFN) based on T-S fuzzy model is given. A general approach for fault information detection in unknown systems using FBFN is present. The unknown system is composed of known part and unknown part. The output of an actual system is composed of three portions: the output of a mathematical model, the output of unknown part and fault information. The known part can be represented by a mathematical model. The unknown part, which includes the uncertainty of model error, disturbance inputs, etc, is estimated by a FBFN. The fault information in the unknown system can be estimated using the outputs of actual system, the mathematical model and FBFN.A simulation example of fault information detection in a microwave landing system of an aircraft is given.
Keywords�� fault detection   fuzzy logic   neural networks   unknown system   microwave landing system     
Received 2002-04-28;


About author: �� ��(1968-),��,����������,��ʿ��, songhua7421@sohu.com.
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Song Hua, Zhang Hongyue.Fuzzy basis function network based approach for fault information detection in unknown systems[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2003,V29(7): 570-574
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