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1·A stairs model approximation for stable linear time-invariant system is given in this Paper.

本文对稳定的线性时不变系统提出了一种阶梯模型近似。

2·Aiming at linear time-invariant system, puts forward the reliable pole placement problem considering actuator fault.

针对线性定常系统，提出了考虑执行器故障的可靠极点配置问题。

3·The pure prediction problem of a stationary random sequence passing through a linear time-invariant system is discussed.

本文讨论了平稳随机序列通过线性时不变系统后的纯预测问题。

4·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。

5·In this paper, the approximate perturbation range of the state matrix of a linear time-invariant system is given, keeping the system controllability invariant.

本文给出了线性定常系统状态矩阵摄动时保持能控性不变的摄动区间的估计。

6·In this paper a novel gated integrating method for IR-UWB correlation receiver is proposed, which USES linear time-invariant system to approximate integrator with discharging.

提出一种应用于脉冲超宽带相关接收机的新型门控积分方法，它利用简单的线性时不变系统实现带清除的积分。

7·This paper presents the time domain analysis of three orders discrete system by power series, which can study not only the time invariant system, but also the time variant system.

利用幂级数的方法，对三阶线性离散系统进行时域分析，其方法不仅可以研究线性非时变离散系统，而且还可以研究线性时变离散系统。

8·Next using an arbitrary two dimension discrete linear time-invariant system as a simulation example, simulation results indicates the control scheme can insure mean square stability of the NCS.

并以任意的一个二维离散线性时不变系统为例，对其进行仿真，仿真结果表明该控制策略能保证网络化控制系统的指数均方稳定性。

9·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。

10·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。