Opto-Electronic Engineering, Volume. 36, Issue 9, 35(2009)
Identification and Modeling of Tracking Error Using BP Neural Network and Evaluation of Tracking Performance
[1] [1] HE Zhao-cai. Photo-electricity Measure [M]. Beijing:National Defense Industry Press,2002:80-81.
[2] [2] WANG Jian-li. Study on TV tracking system of O-E theodolite to track and acquire fast moving targets [D]. Changchun:Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,2002:16-20.
[3] [3] LI Peng-bo,HU De-wen.The Foundation of System Identification [M]. Beijing:China Water Conservancy and Water Electricity Press,2006:2-7.
[4] [4] SUZUKI H,SUGIE T. Optimal input design for system identification in the presence of under modeling[C]//46th IEEE CDC,New Orleans,USA,Dec 12-14,2007:5522-5527.
[5] [5] FANG Chong-zhi,XIAO De-yun. Process Identification [M]. Beijing:Tsinghua University Press,2007:134-137.
[6] [6] WANG Jiang-jiang,ZHANG Chun-fa,JIANG You-yin. Study of Neural Network PID Control in Variable-frequency Air-conditioning System[C]//IEEE International Conference on Control and Automation,Guangzhou,May 30-June 1,,2007. China:IEEE,2007:317-322.
[9] [9] Satyendra Bhama,Harpareet Singh. Single Layer Neural Networks for Linear System Identification Using Gradient Descent Technique [J]. IEEE Transactions on Neural Networks(S1045-9227),1993,4(5):884-888.
[10] [10] HOU Ya-li,LI Tie. Improvement of BP Neural Network by LM Optimizing Algorithm in Target Identification [J]. Journal of Detection & Control,2008,30(1):53-57
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ZHANG Ning, SHEN Xiang-heng, HU Jian-hong. Identification and Modeling of Tracking Error Using BP Neural Network and Evaluation of Tracking Performance[J]. Opto-Electronic Engineering, 2009, 36(9): 35
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Received: Feb. 14, 2009
Accepted: --
Published Online: Jan. 31, 2010
The Author Email: Ning ZHANG (ning0025@163.com)