摘要
应用有限差分法代替非线性函数的偏导数计算以改进扩展卡尔曼滤波器 ,该改进算法用于非线性系统的状态和参数联合估计 .结果表明 ,该滤波器可以代替常规的卡尔曼滤波器 ,具有滤波精度高、数值计算稳定。
An alternative method of partial derivative of nonlinear function is presented. It improves the extended Kalman filter. The algorithm is applied in state and parameter estimation of nonlinear system. The result shows that the filter has better performance. The filter can substitute for conventional EKF with a lot of advantages, such as higher precise, numerical stability, lower model accuracy requirement and wider range of applications, etc.
出处
《郑州大学学报（理学版）》
CAS
2002年第4期44-47,共4页
Journal of Zhengzhou University:Natural Science Edition
