摘要
通常Kalman滤波技术应用得比较广泛 ,然而在系统模型和噪声统计特性存在不确定性的条件下 ,Kalman滤波的应用就受到了一些限制。H∞ 滤波可有效地解决Kalman滤波所遇到的问题 ,不仅估计精度高 ,而且还具有鲁棒性。简要介绍了H∞ 滤波技术和Kalman滤波技术 ,设计了H∞ 鲁棒滤波器和Kalman滤波器 ,并分 3方面对二者的性能进行了比较分析。
In general conditions, Kalman filtering technique has been applied extensively. When there is uncertainty in dynamic model of the statistics of noise sources are not fully known or unavailable, the application of Kalman filtering is restricted. H_∞ filtering can solve the problems in the applications of Kalman filtering with high accuracy and robustness. In this paper, H_∞ filtering and Kalman filtering technique are introduced in brief, H_∞ robust filter and Kalman filter are designed, and their performances are compared and studied through three aspects.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2003年第10期1267-1269,共3页
Systems Engineering and Electronics
