Through comparison between theory proof and simulation, we find the approximation method is feasible in linear time invariant (LTI) system of concentration and distribution parameter.
通过理论推导与仿真结果的对比可知，数据关联抖动估算方法对线性时不变的集总参数，分布参数系统均是可行的。
The integrated design problem of feedback controller and robust fault detection filter is studied for uncertain linear time invariant system.
研究线性不确定系统的反馈控制器与鲁棒故障检测滤波器集成设计问题。
The basic properties of a transfer operator of a linear time-invariant continuous system are proved comprehensively and systematically.
全面系统地论证了线性时不变连续系统传输算子的基本性质。
In this paper, formulas are derived for the minimal order filter in a singular, linear time-invariant, continuous and stochastic system.
本文讨论了奇异线性定常连续随机系统最小阶滤波器的设计问题。
Suppose that the measuring system is a linear and time invariant SISO system, the digital compensation filter in the form of infinite impulse response is in series with it.
滤波器采用无限冲激响应滤波器的形式，并以系统辨识的方法直接在时域进行设计。
In this paper, necessary and sufficient conditions are found for the stability of a perturbed linear time invariant multivariable system.
本文提出了受扰线性定常多变量系统“鲁棒”稳定性的一个充分和必要条件。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
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