The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.
利用M矩阵理论，通过构造适当的向量李雅普诺夫函数，研究一类具有时变时间滞后的线性关联大系统的全局指数稳定性。
The global exponential stability of a class of linear interconnected large scale systems with time delays was analyzed based on M matrix theory and by constructing a vector Lyapunov function.
本文利用M-矩阵理论，应用微分不等式以及拓扑学等有关知识，通过构建向量李雅普诺夫函数，研究了三类时间滞后大系统的指数稳定性以及智能交通系统中车辆纵向跟随控制问题。
This article mainly introduce the applications of MATLAB - function in time - domain, s - domain and Lyapunov stability analysis of linear constant system.
本文主要介绍线性定常系统的时域稳定性分析、频域稳定性分析和李雅普诺夫稳定性分析时MATLAB函数的应用。
A robust state feedback controller design is considered for a class of linear time varying delay system with nonlinear uncertainty based on Lyapunov stability theory.
基于稳定性理论，研究了一类具有状态非线性不确定性的线性时变时滞系统的鲁棒控制器的设计问题。
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。
A linear state feedback controller for a class of discrete-time uncertain systems with multi-inputs is presented. The controller is designed based on the second method of Lyapunov.
本文针对一类离散时间不确定多输入系统，采用李雅普·诺夫第二方法设计了一种鲁棒的线性状态反馈控制器。
The time-delayed chaotic system is infinite dimensional systems, and it can generate multiple positive Lyapunov exponents , and it is more difficult to be analysised and controled.
延迟混沌系统是无限维系统，能生成多个正的李雅普诺夫指数，对其分析和控制都比较困难。
The control theory of chaotic dynamical systems mainly contain the Lyapunov Exponents-based control and open-plus-closed-loop control of discrete-time chaotic systems.
针对混沌系统，采用基于李雅普·诺夫指数和开闭环控制实现了连续和离散混沌系统的控制。
The heavy computation burden has been reduced effectively by our approach with decreasing orders of the matrices required in computing Lyapunov spectrum. The restult is valuable in real time …
本文通过简化公式降低了计算中所用矩阵的阶数，有效地减少了计算量，对混沌信号数据的实时处理有实际意义。
The heavy computation burden has been reduced effectively by our approach with decreasing orders of the matrices required in computing Lyapunov spectrum. The restult is valuable in real time …
本文通过简化公式降低了计算中所用矩阵的阶数，有效地减少了计算量，对混沌信号数据的实时处理有实际意义。
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