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工业通用技术及设备
Linear Optimal Estimators for Stochastic Uncertain Systems With Time-correlated Noises
This paper is concerned with the linear optimal estimation problem for uncertain systems with time-correlated noises where the uncertainty is described by white noise,the process noise is one-step auto-correlated,and the measurement noise is a first-order Gauss-Markov process.For the considered system with the complex correlated noises,using the measurement differencing method and an innovation analysis approach,the linear optimal estimators including filter,predictor and smoother in the linear minimum variance(LMV) sense is proposed.A tracking system is used to illustrate the effectiveness of the developed algorithm.
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第40届中国控制会议论文集(6)
2021年
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