• 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。

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  • 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。

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  • 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。

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  • A real factorization method based on evolutionary algorithms is proposed for finding tbe roots of the characteristic equation of a linear time-invariant closed-loop system.

    针对线性定常闭环系统特征方程的求根问题,提出了一种基于演化算法的实因式分解法。

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  • 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.

    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。

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  • A failure detection scheme is proposed for linear time-invariant large scale systems.

    针对线性时不变大系统,本文提出一种故障检测方案。

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  • This paper discusses a class of decoupled control systems of linear time-invariant systems, and introduces a simple decoupled method.

    本文研究线性定常系统的某一类解藕控制系统,提出一种简便的解藕方法。

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  • 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。

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  • In this paper, a stochastic adaptive control algorithm for linear time-invariant CARMA system is presented.

    作者对线性时不变CARMA系统提出了一种随机自适应控制算法。

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  • A method for computer-aided formulation of linear time-invariant systems is proposed.

    提出了一种编列线性时不变系统微分方程的方法。

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  • 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。

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  • With this method, the transient analysis of nonlinear time-varying RLCM network can be reduced to a series of the DC analyses of linear time-invariant resistive network.

    采用这种方法可将非线性时变RLCM网络的瞬态分析简化为若干次线性时不变电阻性网络的直流分析。

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  • Nodal analysis is a fundamental method which is used to analyze the linear time-invariant network and it is also used in computer-aided circuit analysis.

    节点分析法是学习分析线性时不变网络以及进行计算机辅助网络分析的基本方法之一。

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  • Based on the principle of HNN optimization computation, a design method for the observer for linear time invariant systems is proposed.

    基于神经优化计算原理,给出了线性定常系统的状态观测器的设计方法。

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  • Motivated by the filter reconstruction and vanish-moment conditions, a general construction approach based on the state equation was proposed for linear time-invariant systems.

    阐述了一种利用消失矩条件和线性时不变系统的状态方程来构造小波的方法。

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  • 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。

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  • The paper also sets up a classification of time-optimal control problems of general linear time-invariant systems, and discusses the possible methods of solving the problems.

    文末,对一般线性定常系统的时间最优控制问题进行了分类,并讨论了求解方法。

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  • In this short paper the necessary and sufficient conditions for invariance of linear time-invariant systems are proved by a simple method.

    本短文用简单方法证明了线性非时变系统不变性的充要条件。

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  • 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。

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  • 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。

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  • 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。

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  • This paper presents a new method for identifying parameters of linear time-invariant vibration system by the use of Kalman filtering technique.

    本文提出了利用卡尔曼滤波技术识别线性定常振动系统参数的方法。

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  • In this paper, a new method of total distributed optimal control is discussed for large-scale linear time-invariant interconnected systems.

    本文提出了一种线性定常关联大系统集散最优控制的新方法。

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  • 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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  • For a linear time -invariant multivariable system, there will be some degrees of design freedom in pole assignment by output feedback.

    用输出反馈配置极点时,有一些自由度,可以利用这些自由度指定特征向量。

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  • A new decentralized adaptive control scheme is presented for linear time invariant systems with first order interconnections.

    提出了一阶关联线性定常系统的分散自适应控制。

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  • The response of a time-invariant linear system subjected to mono-source random excitations also retains this feature.

    在同源激励作用下,常多数线性系统的响应仍保持激励的上述特点,充分利用这一特点可以节约计算工作量。

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  • The response of a time-invariant linear system subjected to mono-source random excitations also retains this feature.

    在同源激励作用下,常多数线性系统的响应仍保持激励的上述特点,充分利用这一特点可以节约计算工作量。

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