An Effective Method of Identification the UAV Dynamics Linear Model

摘要：

The extended Kalman filter dentification is an extension of Eigen System Realization. It generates a state-space discrete linear model representation of the nonlinear system in the time-domain. For lightly damped systems it can artificially improve system damping, and making the system deadbeat after a small number of steps. Nonzero initial conditions on the states and controls can be accommodated with the extended Kalman filter identification, so the technique is applicable to UAV dynamics model.

关键词： UAV eztended Kalman filter dynamics model

作者: Zhou Hong-xin Chen Zi-li

作者单位: Ordnance Engineering College, Shijiazhuang, Hebei, China, 050003

会议类型: 国际会议

会议名称: 第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)

会议地点: 重庆

会议语种:英文

页码: 1149-1151

在线出版日期: 2009-08-01（万方平台首次上网日期，不代表论文的发表时间）