In order to get stable control for complex systems, it is necessary to consider the control problems with nonlinear, large scale time delay, time varying and coupling.
为了实现对复杂系统的稳定控制，必须考虑诸如非线性、大时滞、时变和强耦合的控制问题。
The chaotic phenomenon and the decentralized feedback control problem of time delay interconnected large scale systems are studied.
研究一类具有时滞关联的时滞大系统的混沌现象和分散反馈控制问题。
The most commonly used for large scale integrated circuit of the time relay into, it is to use resistance to achieve delay action let principle.
目前最常用的为大规模集成电路型成的时间继电器，它是利用阻容原理来实现延时动作。
The stability of time-delay and time-varying large scale systems with impulsive effect is investigated by means of the comparison principle and vector Lyapunov function with discontinuous derivative.
运用比较原理和导数不连续的李雅普诺夫函数，结合分解集结等方法，研究具有滞后的测度型线性时变脉冲扰动大系统的全局指数稳定性。
The stability analysis and stabilization decomposition problems were put forward for the large-scale systems with time-delay by using the decomposition method.
本文利用分解法分别对滞后型和中立型时滞大系统进行了稳定性分析与镇定分解。
Furthermore, we also study a class of large-scale systems with uncertain interconnected time-delay, which don't satisfy the matching conditions, and a new decentralized VSC strategy is proposed.
进一步在此基础上，还研究了不匹配时变不确定关联时滞大系统，提出了一种新的分散变结构控制策略。
Numbers of patient with large scale of sensor data consume a lot of communication resource, bring a burden to the remote server and delay the decision time and notification time.
随着病人数的增加，服务中心收到的传感器的数据数量十分庞大，处理这些数据将需要消耗大量资源，这给远程服务中心带来的负担，延缓了健康状态的判断时间和紧急通知的时间。
The T-S fuzzy model was adopted for fuzzy modeling of the large-scale systems with time-delay.
针对状态可测的一类连续非线性时滞大系统的鲁棒分散控制问题，采用T-S模型对其进行建模。
The T-S fuzzy model was adopted for fuzzy modeling of the large-scale systems with time-delay.
针对状态可测的一类连续非线性时滞大系统的鲁棒分散控制问题，采用T-S模型对其进行建模。
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