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�������պ����ѧѧ�� 2003, Vol. 29 Issue (7) :640-643    DOI:
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Study on an improved recursive partial least-squares modeling approach and application
Liu Qiang, Yin Li*
School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� Based on the related partial least-squares (PLS) algorithms, a new improved recursive partial least-squares (SR-PLS) algorithm was derived. The SR-PLS simplifies the recursive computations by substituting the two principal matrices of the independent variables for the residual matrices directly. By using a computer simulation, it shows the consumed time using SR-PLS decreased greatly. The SR-PLS was implemented in modeling peak resultant cutting force of an NC machining process. The estimated outputs of the process model with the identified parameters were re-constructed, consistent with the measurement. The simulation and experiment demonstrate that the SR-PLS algorithm was correct and effective, with the advantages of less computation time, valid parameter estimation and small modeling errors. SR-PLS algorithm is suitable for the on-line modeling applications in the cases of large-scale measurement data and the requirement of high efficiency as well.
Keywords�� model building   parameter estimations   recursive algorithm   partial least squares   cutting process     
Received 2002-04-18;


About author: �� ǿ(1963-),��,����������,����, qiangliu@public.fhnet.cn.net.
��ǿ, ����.һ�ּ򻯵���ƫ��С���˽�ģ�㷨����Ӧ��[J]  �������պ����ѧѧ��, 2003,V29(7): 640-643
Liu Qiang, Yin Li.Study on an improved recursive partial least-squares modeling approach and application[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2003,V29(7): 640-643
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