Rigatos G G. A derivative-free Kalman filtering approach to state estimation-based control of nonlinear systems. IEEE Transactions on Industrial Electronics, 2012, 59(10): 3987-3997
[2]
Kong L, Kong L F, Wu P L. Adaptive Gaussian particle filter for nonlinear state estimation. In: Proceedings of the 31st Chinese Control Conference. Hefei, China: IEEE, 2012. 2146-2150
[3]
Zhang X C. A novel cubature Kalman filter for nonlinear state estimation. In: Proceedings of the 52nd IEEE Conference on Decision and Control. Florence, Italy: IEEE, 2013. 7797-7802
[4]
Hu J P, Liu Z X, Wang J H, Wang L, Hu X M. Estimation, intervention and interaction of multi-agent systems. Acta Automatica Sinica, 2013, 39(11): 1796-1804
[5]
Wen Xin-Yu. Disturbance observer based control for a class of nonlinear systems with input time-delay. Acta Automatica Sinica, 2014, 40(9): 1882-1888) (文新宇. 一类含输入时滞非线性系统的干扰观测器控制. 自动化学报, 2014, 40(9): 1882-1888)
[6]
Novara C, Ruiz F, Milanes M. A new approach to optimal filter design for nonlinear systems. In: Proceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference. Shanghai, China: IEEE, 2009. 5484-5489
[7]
Zhang F R, Cao J S, Xu Z H. An improved particle swarm optimization particle filtering algorithm. In: Proceedings of the International Conference on 2013 Communications, Circuits and Systems. Chengdu, China: IEEE, 2013. 173-177
[8]
Zuo Jun-Yi, Zhang Yi-Zhe, Liang Yan. Particle filter based on adaptive part resampling. Acta Automatica Sinica, 2012, 38(4): 647-652(左军毅, 张怡哲, 梁彦. 自适应不完全重采样粒子滤波器. 自动化学报, 2012, 38(4): 647-652)
[9]
Zhu J, Wang X L, Fang Q S. The improved particle filter algorithm based on weight optimization. In: Proceedings of the 2013 International Conference on Information Science and Cloud Computing Companion. Guangzhou, China: IEEE, 2013. 351-356
[10]
Ouyang Cheng, Ji Hong-Bing, Guo Zhi-Qiang. Improved multiple model particle PHD and CPHD filtering algorithm. Acta Automatica Sinica, 2012, 38(3): 341-348(欧阳成, 姬红兵, 郭志强. 改进的多模型粒子PHD和CPHD滤波算法. 自动化学报, 2012, 38(3): 341-348)
[11]
Li L Q, Ji H B, Luo J H. The iterated extended Kalman particle filtering. Journal of Xidian University (Natural Science), 2007, 34(2): 233-238
[12]
Charalampidis A C, Papavassilopoulos G P. Improved auxiliary and unscented particle filter variants. In: Proceedings of the 52nd IEEE Annual Conference on Decision and Control. Florence, Italy: IEEE, 2013. 7040-7046
[13]
Julier S J. The scaled unscented transformation. In: Proceedings of the American Control Conference. Anchorage, AK: IEEE, 2002. 4555-4559
[14]
Julier S J. The spherical simplex unscented transformation. In: Proceedings of the American Control Conference. Denver, USA: IEEE, 2003. 2430-2434
[15]
Guo W Y, Han C Z, Lei M. Research on particle filter based on spherical unscented transformation. In: Proceedings of the 7th Word Congress on Intelligent Control and Automation. Chongqing, China: IEEE, 2008. 8388-8392
[16]
Tian Jun, Qian Jian-Sheng, Li Shi-Yin. Unscented particle filter using iterative minimal skew simplex UKF. Control and Decision, 2011, 26(6): 888-892(田隽, 钱建生, 李世银. 迭代最小斜度单型Sigma采样UPF算法. 控制与决策, 2011, 26(6): 888-892)
[17]
Ning Xiao-Lin, Fang Jian-Cheng, Ma Xin. Impact of UPF filter parameters on spacecraft celestial navigation performance. Chinese Space Science and Technology, 2010, 30(3): 1-11(宁晓琳, 房建成, 马辛. UPF滤波参数对航天器天文导航性能的影响. 中国空间科学技术, 2010, 30(3): 1-11)
[18]
Guo Ying-Shi, Wang Chang, Zhang Ya-Qi. Analysis of noise variance's effect on Kalman filter result. Computer Engineering and Design, 2014, 35(2): 641-645(郭应时, 王畅, 张亚岐. 噪声方差对卡尔曼滤波结果影响分析. 计算机工程与设计, 2014, 35(2): 641-645)
[19]
Jiang Wei-Nan, Zhou Hai-Yin, Duan Xiao-Jun, Pan Xiao-Gang. Adaptive selecting method for scaling factor of scaled unscented transformation. Chinese Space Science and Technology, 2008, 28(3): 1-6(姜伟南, 周海银, 段晓君, 潘晓刚. 比例UT变换的一种比例因子自适应选取方法. 2008, 28(3): 1-6)
[20]
Cheng Shui-Ying. Unscented transformation and unscented Kalman filtering. Computer Engineering and Applications, 2008, 44(24): 25-35(程水英. 无味变换与无味卡尔曼滤波. 计算机工程与应用, 2008, 44(24): 25-35)
