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。
In the net, the functions are served as nonlinear neural units to establish function link artificial neural networks models of oil reservoir systems.
该网络把级数中的函数看成非线性神经元，建立油藏系统的函数型连接人工神经网络模型。
Lyapunov's functions of a type of nonlinear third-order systems are constituted in this paper, and sufficient conditions assuring the global asymptotic stability of the trivial solutions are given.
在本文中，构造出了一类三阶非线性系统李雅普·诺夫函数，并给出这些系统全局渐近稳定的充分条件。
Abstract : A class of nonlinear non-affine pure-feedback SISO systems with unknown nonlinear functions are investigated.
摘要：研究了一类非仿射的纯反馈单输入单输出非线性系统。
By using the so-called "natural level functions", we extend the well-known damped Newton method to solve ill-conditioned systems of nonlinear equations.
利用自然水平函数，将众所周知的阻尼牛顿法进行推广，用于求解病态非线性方程组。
By using the so-called "natural level functions", we extend the well-known damped Newton method to solve ill-conditioned systems of nonlinear equations.
利用自然水平函数，将众所周知的阻尼牛顿法进行推广，用于求解病态非线性方程组。
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