[1] 余卓平,高晓杰.车辆行驶过程中的状态估计问题综述[J].机械工程学报,2009,45(5):20-33. [2] 陈慧,高博麟,徐帆.车辆质心侧偏角估计综述[J].机械工程学报,2013,49(24):76-94. [3] REINA G, PAIANO M, BLANCO-CLARACO J L. Vehicle parameter estimation using a model-based estimator[J]. Mechanical Systems & Signal Processing,2016,87(B):227-241. [4] BERGMAN M J, DELLEUR J W. Kalman filter estimation and prediction of daily stream flows: I. review, algorithm, and simulation experiments[J]. Jawra Journal of the American Water Resources Association,2010,21(5):815-825. [5] 宗长富,胡丹,杨肖.基于扩展Kalman滤波的汽车行驶状态估计[J].吉林大学学报(工学版),2009,39(1):9-13. [6] 李旭,宋翔,张为公.基于扩展卡尔曼滤波的车辆状态可靠估计[J].东南大学学报(自然科学版),2014,44(4):740-744. [7] XIONG K, ZHANG H Y, CHAN C W. Performance evaluation of UKF-based nonlinear filtering[M]. Pergamon Press, Inc,2006. [8] KOLS S, FOSS B A, SCHEI T S. Constrained nonlinear state estimation based on the UKF approach[J]. Computers & Chemical Engineering,2009,33(8):1386-1401. [9] 褚端峰,吴超仲,胡钊政,等.基于双线性观测器的汽车侧倾状态估计[J].中国公路学报,2016,29(1):128-134. [10] MELZI S, SABBIONI E. On the vehicle sideslip angle estimation through neural networks: numerical and experimental results[J]. Mechanical Systems & Signal Processing,2011,25(6):2005-2019. [11] 施树明,Henk Lupker, Paul Bremmer,等.基于模糊逻辑的车辆侧偏角估计方法[J].汽车工程,2005,27(4):426-430. [12] 周聪.基于非线性估计理论的线控转向汽车状态估计研究[D].成都:西南交通大学,2012. [13] 张凤娇,魏民祥,赵万忠.基于蚁群优化UKF算法的汽车状态估计[J].中国机械工程,2015,26(22):3046-3050. [14] 潘泉,杨峰,叶亮,等.一类非线性滤波器—UKF综述[J].控制与决策,2005,20(5):481-489. [15] 叶承晋,黄民翔,陈丽莉,等.基于并行非支配排序遗传算法的限流措施多目标优化[J].电力系统自动化,2013,37(2):49-55. [16] 徐兴,陈特,陈龙,等.基于UIO/双KF的4WID-EV驱动轮纵向力估计[J].汽车工程,2016,38(9):1095-1100. |