1) set membership identification
集员辨识
1.
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。
2.
The set membership identification for bilinear system parameters is discussed in this paper.
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。
3.
The set membership identification under the assumption of UBB noise is a novel systematic identification method.
基于UBB噪声假设下的集员辨识是一种新型的系统辨识方法,与传统辨识方法相比具有较强的鲁棒性。
2) set-membership identification
集员辨识
1.
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 .
在不确定但有界(UBB,Unknown-But-Bounded)噪声假设下,基于线性时不变系统参数集员辨识的区间算法,寻求与观测数据和噪声相容的参数的最小超长方体(或区间向量),进而得到结构参数的估计值。
3) system identification/set membership identification
系统辨识/集员辨识
4) integrated identification
集成辨识
1.
Aim To infroduce an integrated identification method combined steady-state with dynamic identification for a class of MISO bilinear Hammerstein model which has charcteristic of static nonlinear gain zero point symmetry.
目的针对一类静态非线性增益具有原点对称特性的M ISO双线性Hammerstein模型,提出一种稳态与动态辨识相结合的集成辨识方法。
2.
An integrated identification method combining steady-state and dynamic identification is introduced for the multi-input/single-output(MISO) Hammerstein system.
针对多输入单输出(MISO)Hammerstein系统提出了一种稳态与动态辨识相结合的集成辨识方法。
3.
In this paper,for a class of bilinear Hammerstein model which has characteristic of static nonlinear gain zero point symmetry,an integrated identification method combined steady state with dynamic identification is introduced.
对于一类静态非线性增益具有原点对称特性的双线性Hammerstein模型 ,提出了一种稳态与动态辨识相结合的集成辨识方法 。
5) set membership
集元辨识
6) evidence set
辨识项集
补充资料：员员
1.圆貌。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条