Assuming that noise is unknown but bounded, set membership identification problem for flight vehicle aerodynamic parameters is studied in this paper.

在噪声未知但有界的情况下，本文研究了飞行器气动参数的集员辨识问题。

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The influence is considered of exogenous disturbances and noise of unknown but energy bounded sources that actually exist in practice, and this could reduce the conservatism of the results.

在建模中计入了实际存在的、未知但能量有界的外扰和噪声的影响，降低了结果的保守性。

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Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.

本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识，给出了双线性系统参数集员估计的递推形式，并讨论了收敛性。

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Based on the assumption of the unknown-but-bounded (UBB) noise, an interval algorithm for set-membership identification of parameters of linear time-invariant system was used to seek the minimal.

本文讨论了在噪声功率有界的假设下双线性系统参数的集员辨识，给出了双线性系统参数集员估计的递推形式，并讨论了收敛性。

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