This paper proposes a new recursive estimate algorithm for unknown time-delay, orders and coefficients of linear discrete-time stochastic control systems (ARMAX model).
针对时滞、阶数和系数皆未知的离散时间线性随机控制系统（ARMAX模型），提出一种对时滞、阶数和系数同时进行递推估计的算法。
The model of the base station of wireless networks is built based on the finite user population discrete time delay and loss system.
利用有限用户离散时间混合消失系统对无线通信系统中基站进行建模。
Firstly, the networked control system model with random time-delay is simplified and transformed into a discrete-time system model with uncertain parameters.
首先对具有随机时滞的网络控制系统模型进行简化，导出了具有不确定系数的时滞离散时间系统模型。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
For nonlinear discrete systems, the T-S model is constructed and the parametric uncertainty and time-delay terms are introduced to make the fuzzy model approach to the original system more exactly.
针对非线性离散系统，构造t - S模型，引入参数不确定项和时滞项，使得模糊模型能够更精确逼近原系统。
应用推荐