Abstract: a set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known.
文摘：为了处理数学模型不精确已知系统的故障检测问题，给出了一种故障检测的集员辨识方法。
A set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known.
为了处理数学模型不精确已知系统的故障检测问题，给出了一种故障检测的集员辨识方法。
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。
A new set membership identification algorithm was proposed for the robust identification problem of nonlinear dynamic systems with unknown but bounded noises.
针对带有未知有界噪声的非线性动态系统的鲁棒辨识问题，提出了一种新的非线性动态系统的集员辨识算法。
A method based on the set-membership identification theory for the parameter identification of a helicopter fully coupled flight dynamics model is presented.
提出了一种基于集员辨识理论的直升机全耦合飞行动力学模型参数辨识方法。
Then a two-step method for the set-membership identification of a helicopter fully coupled flight dynamics model is established.
在此基础上，建立了直升机全耦合飞行动力学模型集员辨识的两步法。
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。
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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