文摘： 本文讨论噪声功率有界时双线性系统参数的集员辨识(Set-membership Identification)。参数化后的双线性系统可用回归向量含非线性项的回归形式表示。
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Guided by medical knowledge, we applied computer modelling and system identification technology, in particular Set Membership Identification (SMI) algorithm, to establish an optimum therapy model for heart failure. The model is utilized to determine medicine therapy, and evaluate treatment efficiency.
本课题在临床医学知识指导下,结合计算机建模技术、系统识别技术,运用集员辨识算法,确定出用药模式,建立慢性心力衰竭优化治疗模型,基于该模型还建立了心力衰竭治疗效果评估方法。
参考来源 - 基于集员辨识的心力衰竭优化治疗模型研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
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。
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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