Discrete time convergence system is an important tool for investigating the asymptotic theory of linear model in discrete time.
离散时间收敛系统是研究离散时间线性模型渐近理论的重要工具。
To overcome the long test time and big error in single variable open loop step test method, a novel identification method based on asymptotic theory (asym) is presented.
为克服传统单变量开环阶跃测试法测试时间长和误差大的缺点,提出一种基于渐进黑箱理论的多变量辨识方法。
Traditional statistical theory aims at the asymptotic theory when sample size is tend to infinity.
传统的统计学研究的是样本无穷大时的渐近理论。