摘要
Sensor delay and observation uncertainty often occur in modem computerbased systems, e.g., when the measurement is transmitted to a remote controller through a network medium. In this paper, we revisit the Kalman filter design problem for a stochastic dynamic system with random one-step sensor delay, and derive the optimal unbiased state estimation algorithm. Both full- and reduced-order filters are studied, and the results compare favorably with those of the existing algorithms in examples via simulation.
- 出版日期2007-8
- 单位杭州电子科技大学