The adaptive speed recognition algorithm without speed sensor control was deduced by applying the lyapunov stability theory.
通过李亚普诺夫稳定性理论，推导出一种无速度传感器控制的速度自适应辨识算法。
It is showed by the Lyapunov stability theorem that the tracking errors converge exponentially. The simulation results illustrate the efficiency of this method.
通过李亚普诺夫稳定理论证明跟踪误差是指数收敛的，仿真结果验证了这种方法的有效性。
By using the auxiliary system method, a sufficient condition for GS is derived based on the Lyapunov stability theory. At last, numerical examples are presented which fit the theoretical analysis.
通过使用辅助系统方法，我们给出了基于李雅普·诺夫稳定性理论的广义同步定理。最后，用数值例子来验证定理的有效性。
The practical stability in terms of two measures of impulsive differential systems and its perturbed systems is developed by Lyapunov direct method.
运用李雅普·诺夫直接方法研究了脉冲微分系统及其摄动系统关于两个测度的实际稳定性。
The navigation technique of robot control using artificial potential fields is based on fuzzy logic and stability is guaranteed by Lyapunov theory.
利用人工势能场的机器人导航控制技术由模糊控制实现，系统的稳定性由李雅普·诺夫原理保证。
The problem of stability and decentralized stabilization for discrete singular large-scale systems with non-causality is solved by Lyapunov approach in this paper.
其次在子系统正则的条件下，给出了广义大系统渐近稳定的判定定理，设计了镇定离散广义大系统的反馈律。
A two-folded sliding modes approach of pneumatic muscle actuator (PMA) position control system was proposed, and the controller was designed by using Lyapunov stability theory.
针对气动人工肌肉位置控制系统，提出了两层滑模的变结构鲁棒控制策略，控制器的推导基于李亚普诺夫稳定性理论。
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。
By means of suitable Lyapunov functionals, the exponential stability of periodic solutions for shunting inhibitory cellular neural networks(SICNNs)with delays and variable coefficients is studied.
利用适当的李亚普若夫泛函，研究了时滞分流抑制型细胞神经网络的周期解的指数稳定性。
After Lyapunov function is DE - rived, with theoretical analysis, energy-based control design method is discussed in order to solve the global stability problem.
并在构建李雅普·诺夫函数及理论分析的基础上提出了基于能量的控制器方法。
This article is intended to develop a method for constructing Vector Lyapunov functions and the application to the stability analysis of linear and nonlinear composite systems.
本文的目的是叙述构造矢量李亚普诺夫函数的方法和应用于线性与非线性复合系统的稳定性分析。
Finally, by using the concept and method of the Lyapunov function, a sufficient condition for the approximate stability in the large field of the closed-loop control system is derived.
最后，利用李雅普诺夫函数概念和方法得到了闭环控制系统具有大域渐近稳定性的充分条件。
This article makes use of variable gradient method and structure Lyapunov Function to solve a kind of global asymptotic stability for solutions of non-linear system of the second order.
用变量梯度法构造李雅普·诺夫函数，解决一类二阶非线性系统解的全局渐近稳定性问题。
Due to the idea of parameter-dependent Lyapunov stability, the obtained robust stability condition has less conservativeness than the one based on quadratic stability.
因为使用了参数依赖的李亚普诺夫稳定性思想，此鲁棒稳定条件比基于二次稳定概念的稳定条件的保守性更小。
By using mechanical analysis, the dynamic equation of the system was established, the Lyapunov direct method was applied to obtain stability conditions of system equilibrium points.
通过力学分析，建立了离心调速器系统的动力学方程，应用李雅普·诺夫直接方法得到该系统稳定平衡点的条件。
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。
According to the dynamic equation of relative motion between the missile and the target, Lyapunov stability theory is used to design a new yaw plane guidance law for missiles.
根据导弹与目标之间的相对运动方程，应用李雅普·诺夫稳定性理论设计一种新的导弹航向平面导引律。
On the stability analysis of large-scale systems by Lyapunov functions, it is necessary to determine the stability of vector comparison equations.
用矢量李雅普诺夫函数解决大系统的稳定性问题必须要判断矢量比较方程的稳定性。
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。
The whole system stability and tracking error convergence are proved by Lyapunov stability theory which yields a novel neural network weight tuning algorithm.
整个系统的全局稳定性和跟随误差的收敛性采用李雅普·诺夫稳定性理论进行了证明，并得到了一种新颖的神经网络权值调整算法。
Finally, using Lyapunov function theoretical analyze the stability conditions of two improved SPO.
最后利用李雅普·诺夫函数从理论上分析了两种改进算法的稳定性条件。
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。
By using Lyapunov functional method and linear matrix inequality (LMI) approach, the absolute stability of a general neutral type of Lurie indirect control systems was studied.
基于线性矩阵不等式(LMI)的方法，将故障检测问题转化为系统鲁棒稳定性的分析问题。
It is a fundamental technique for stability study to analysis and synthesize system stability by considering the Lyapunov equation.
通过对李亚普诺夫方程的讨论来实现对控制系统的稳定性分析和综合，是处理系统稳定性问题的一个重要方法。
The stability and robustness of the entire system is proved by Lyapunov method.
用李亚普诺夫方法证明了整个系统的稳定性和鲁棒性。
Using the theory of Lyapunov asymptotic stability, the chaos self synchronization of Lorenz system and analogy Lorenz system are easily realized.
利用李雅普诺夫渐近稳定性定理，很方便地实现了洛沦滋和类洛沦滋系统的混沌自同步。
Based on the parameter-dependent Lyapunov stability and linear matrix inequality, the sufficient condition for robust stability is derived to enable the systems with delays to be robustly stable.
基于参数依赖的李亚普诺夫稳定性和线性矩阵不等式推导出使得时滞鲁棒稳定系统鲁棒稳定的充分条件。
The stability of the error system is analyzed by a Lyapunov function, which shows that the errors are exponential convergent.
利用李亚普诺夫函数分析了误差系统的稳定性，说明误差是指数收敛的。
Furthermore, the stability of the speed-tracking control closed loop system constituted of feedback linearization control and sliding mode observer is analyzed using Lyapunov stability theory.
并利用李雅普·诺夫理论对由反馈线性化和滑模观测器构成的非线性闭环系统的稳定性进行了证明。
Furthermore, the stability of the speed-tracking control closed loop system constituted of feedback linearization control and sliding mode observer is analyzed using Lyapunov stability theory.
并利用李雅普·诺夫理论对由反馈线性化和滑模观测器构成的非线性闭环系统的稳定性进行了证明。
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