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数值不等式

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The existence theorem of solution of approximate problems is obtained.

我们考虑了一类广义似变分不等式系统的数值解,提出和SGVLIP相关的逼近问题,证明了逼近问题解的存在性。

By means of generalized Lyapunov function and linear matrix inequality,the asymptotical stability with zero solution is studied for the system,and a sufficient condition is given such that the system is asymptotically stable with zero solution and also a H∞ norm constraint .

针对非线性离散广义系统研究了状态反馈H∞控制器的设计问题,利用广义Lyapunov函数和线性矩阵不等式,首先对系统的零解渐近稳定问题进行了研究,并在此基础上给出了系统的零解渐近稳定且具有H∞范数约束的充分条件,之后设计了状态反馈H∞控制器,使闭环系统具有同样的性能,最后给出了数值算例说明本文结论的有效性和可行性

People have proposed many different control method to realize the chaos synchronization. This article has conducted the thorough research to the chaotic neural network, introduced the chaos neural network synchronization method. Based on the linear matrix inequality technology and Lyapunov stability theory, we have Studied the synchronized controller design method of the global synchronization, the non-linear global synchronization and the global exponential synchronization. Here we have proposed one kind of synchronization algorithm, through which might obtain the gain matrix quickly and automatize.

本文对混沌神经网络进行了深入的研究,介绍了混沌神经网络同步方法的发展及研究现状,基于线性矩阵不等式技术和李雅普诺夫稳定性理论,分别研究了全局同步、非线性全局同步和全局指数同步的同步控制器实现方法,提出了一种实现混沌神经网络同步的算法,通过该算法可以快速得到增益矩阵的形式,实现混沌系统的同步控制,数值仿真验证了算法的有效性。

Using linear matrix inequality technique and convex optimization computing, we can readily implement the synthesis of feedback control law.

反馈控制律的设计利用线性矩阵不等式技术,通过凸优化计算易于实现,最后给出了数值计算示例。

Furthermore, by exploiting existence theorem, algorithms for SNVI are constructed and the convergence of the algorithm is discussed.

最后,我们讨论了Banach空间中混合非线性变分不等式系统的数值算法。

In some real-world problems, the mapping of the variational inequalities does not have any explicit forms and only the function value can be evaluated or observed for given variables.

现实世界中,变分不等式问题中的映射没有具体表达式而只能在计算过程中对给定的自变量观测到相应的函数值。

These strategies include: an improved adaptive movement penalty method which prevent ill condition matrix based numerical instability, a network topology based identification method which prevent too much tuning and a limited times skipping method of trial iteration.

在上篇中,本文给出了以下内容:第二章详细描述了最优潮流牛顿算法的实现,着重分析了牛顿法实际应用中存在着的两个主要问题:数值不稳定性和如何快速正确地识别起作用的不等式约束集,并提出了相应的处理对策。

In this paper, a numerical method to verify the existence of solutions for variational inequalities is presented.

基于文献[1]给出了一种数值证明变分不等式解的存在性方法。

In chapter 4 we proposed a linear inequality constraint optimization question frame about projection of gradient algorithm, and has performed the numerical experimentation, but its convergence also needs further study.

在第四章中我们提出了线性不等式约束最优化问题的一个投影梯度算法框架,做了数值试验,但其收敛性还有待进一步研究。

We give a two-parameter penalty function and its exact penalty theorem for inequation constrain- ed optimization,meanwhile,We propose a quasi Newton algorithmfor solving the unconstrained nonlinear penalty problem and study its convergence,Numerical examples illustrate the feasibility of the algorithm.

对于含约束不等式的优化问题,构造双参数精确罚函数并给出精确罚定理,提出了一个求解这种罚函数问题的布鲁丹族拟牛顿算法,研究了算法的收敛性与收敛速度,并进行了数值试验,证明了可行性。

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