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无线电电子学
Robust time-varying Kalman smoothers with uncertain noise variances
This paper addresses the design of robust Kalman smoothers for the time-varying system with uncertain noise variances.According to the minimax robust estimation principle,and the unbiased linear minimum variance(ULMV) optimal estimation rule,based on the worst-case conservative system with the conservative upper bounds of noise variances,two robust Kalman state smoothing algorithms are presented by the augmented and non-augmented state approaches,respectively.Their robustness is proved by the Lyapunov equation approach,and their robust accuracy relations are proved.A simulation example is given to verify the robustness and the correctness of the robust accuracy relations.
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第40届中国控制会议论文集(6)
2021年
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