前已指出：我们主要关心的是用线性、时不变微分方程作为实用的模型系统。
We have already stated that our main concern will be the study of systems for which linear, time-invariant differential equations provide a useful model.
所采用的数学模型为线性和参数时不变的。
The analytical model used is the linear and parameter time-invariable system.
本文对稳定的线性时不变系统提出了一种阶梯模型近似。
A stairs model approximation for stable linear time-invariant system is given in this Paper.
其次，基于线性时不变工业对象模型，对包含网络的广义被控对象进行了分析与建模。
Next, the augmented controlled plants including networks are analyzed and modeled in this dissertation, based on the linear time-invariant industrial controlled plants.
本文经过重新定义增广误差信号，给出了有延时情况下线性时不变离散时间单输入单输出被控对象的模型参考自适应控制系统的超稳定性设计方法。
This paper presents a hyperstable scheme for designing discrete model reference adaptive control system for lineartime-invariant SISO plant, based on a redefined augmented error signal.
本文经过重新定义增广误差信号，给出了有延时情况下线性时不变离散时间单输入单输出被控对象的模型参考自适应控制系统的超稳定性设计方法。
This paper presents a hyperstable scheme for designing discrete model reference adaptive control system for lineartime-invariant SISO plant, based on a redefined augmented error signal.
应用推荐