The thesis aims to study the set-membership estimation theory. The issues of parameter set identification, state bounding estimation and learning algorithm of neural network are discussed in details based on the framework of unknown but bounded noise system.
本文研究了集员估计理论，重点研究了未知但有界噪声系统框架下参数集辨识、状态估计和有关神经网络学习算法的问题。
参考来源 - 集员估计理论方法及其应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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。
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。
应用推荐