摘要
推广了现有的强跟踪滤波器理论,解决了一类具有有色噪声干扰的非线性时变随机系统的强跟踪滤波问题,为使状态估计值更加平滑,引入了弱化因子的新概念。
The theory now in use for strong tracking filters as beveloped for use with nonlunlinear systems involving white noise, is extended to a class of nonlinear time-varying stochastic systcms with colored noise . A new concept of 'softening factor' is introduced to make the state estimators much smoother. Effeveness of the proposed approach is illustrated by computer simulations .
出处
《北京理工大学学报》
EI
CAS
CSCD
1997年第3期321-326,共6页
Transactions of Beijing Institute of Technology
基金
国家自然科学基金
高等学校博士学科点专项科研基金
关键词
有色噪声
强跟踪滤波
弱化因子
非线性系统
colored noke
strong tracking filtering
sofkning fador
nonlinear
time- varying
stochastic systems