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�������պ����ѧѧ�� 2002, Vol. 28 Issue (4) :373-375    DOI:
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Optimal Terminal Missile Guidance Law Based on Fuzzy Neural Networks
DONG Chao-yang, JING Shao-guang, WANG Qing, ZHANG Ming*
Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering

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Abstract�� Because fuzzy neural networks technique has the advantages not only strong adaptability to nonlinear systems but also quick learning ability, it has been applied to nonlinear systems successfully. an optimal terminal missile guidance law based on fuzzy neural networks for the advanced missiles with thruster vector control is presented. In the design of optimal guidance law, the minimum of missile energy loss and miss distance is required while the nonlinear character of the thruster vector control is considered. In addition, fuzzy learning rules are presented to improve the learning ability of the neural networks system. Numerical simulation results are given to illustrate that the presented fuzzy neural networks guidance law has good performance to hit maneuvering targets.
Keywords�� precise guidance   thrust vector control   neural networks   fuzzy rules   numerical simulation     
Received 2000-10-17;

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������, ���ع�, ����, ������.����ģ��������ĵ�������Ѱ��ĩ�Ƶ���[J]  �������պ����ѧѧ��, 2002,V28(4): 373-375
DONG Chao-yang, JING Shao-guang, WANG Qing, ZHANG Ming.Optimal Terminal Missile Guidance Law Based on Fuzzy Neural Networks[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2002,V28(4): 373-375
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