[1] R E Kalman.A new approach to linear filtering and prediction problem [J].Transactions of the ASME,Journal of Basic Engineering,1960,82(D):35-45. [2] Tongxin Zheng,Adly A Girgis,Elham B Makram.A hybrid wavelet-Kalman filter method for load forecasting [J].Electric Power Systems Research,2000,54(1):11-17. [3] 李捷,候秀红,韩志杰.基于卡尔曼滤波和小波的网络流量预测算法研究[J].电子与信息学报,2007,29(3):725-728. Li Jie,Hou Xiuhong,Han Zhijie.Application of Kalman filter and wavelet in traffic prediction[J].Journal of Electronics & Information Technology,2007,29(3):725-728.(in Chinese) [4] 任慧玉.最优估计与小波分析理论在经济分析中的应用研究 [D].河南开封:河南大学,2004.45-60. Ren Huiyu.The Application Research of the Optimal Estimation and Wavelet Analysis Theory in the Economic Analysis [D].Kaifeng,Henan:Henan University,2004:45-60.(in Chinese) [5] 曾峰,文成林,王松伟.基于小波-卡尔曼滤波混合预报的处理EMD边缘问题新方法[J].计算机应用研究,2007,24(1):51-53,106. Zeng Feng,Wen Chenglin,Wang Songwei.New method of EMD edge problem based on wavelet-Kalman filtering hybrid forecast[J].Application Research of Computers,2007,24(1):51-53,106.(in Chinese) [6] 余利文.强跟踪滤波与小波分析理论在短期电力载荷预测中的应用研究 [D].浙江杭州:杭州电子科技大学,2010.24-30. Yu Liwen.The Application Research of Strong Tracing Filter and Wavelet Analysis Theory in Short-term Power Load Forecasting [D].Hangzhou,Zhejiang:Hangzhou Dianzi University.2010.24-30.(in Chinese) [7] Tao Wen,Liangfeng Yang and Quanbo Ge.Block Kalman filtering for power system [A].Proceedings of 2011 International Conference on Information Systems and Computational Intelligence [C].Harbin,China:Institute of Electrical and Electronics Engineers,Inc,2011.VI60-VI63. [8] 周东华,叶银忠.现代故障诊断与容错控制[M].北京:清华大学出版社,2000.60-113. [9] Wenbin Li,Quanbo Ge.UKF-STF tracking with correlated noises for the nonlinear system [A].Proceedings of the 8th World Congress on Intelligent Control and Automation [C].Jinan,China:Institute of Electrical and Electronics Engineers,Inc,2009.3466-3471. [10] W M Xu,L L Kuang,J H Lu.Positioning algorithm with joint space-time constraints for unmanned network-flying vehicles [J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(8):2694-2704. |