Observer-based H∞ control over packet dropping networks

A new controller design problem of networked control systems with packet dropping is proposed. Depending on the place that the observer is put in the system, the network control systems with packet dropping are modeled as stochastic systems with the random variables satisfying the Bernoulli random binary distribution. The observer-based controller is designed to stabilize the networked system in the sense of mean square, and the prescribed H∞ disturbance attenuation level is achieved. The controller design problem is formulated as the feasibility of the convex optimization problem, which can be solved by a linear matrix inequality (LMI) approach. Numerical examples illustrate the effectiveness of the proposed methods.     

New results on the robust stability analysis of neural networks with discrete and distributed time delays

Delay-dependent robust stability of cellular neural networks with time-varying discrete and distributed time-varying delays is considered. Based on Lyapunov stability theory and the linear matrix inequality （LMIs） technique, delay-dependent stability criteria are derived in terms of LMIs avoiding bounding certain cross terms, which often leads to conservatism. The effectiveness of the proposed stability criteria and the improvement over the existing results are illustrated in the numerical examples.     

Robust model predictive control of continuous uncertain systems*

The authors concern robust model predictive control for linear continuous systems with polytopic uncertainties and input constraints. At each sampling time, a piecewise constant control sequence is obtained by solving a set of linear matrix inequalities. The sufficient conditions on the existence of the model predictive control are given, and the robust stability of the closed-loop systems is guaranteed. A simulation example illustrates the efficiency of the proposed method.     

弹性需求用户平衡分配模型及其应用

对具有弹性需求的交通网络随机用户平衡分配问题进行了分析研究,将其描述为一个等价的变分不等式。最后将模型应用于拥护公交网络系统的平衡分配问题,并针对公交网络系统的特殊性,提出相应的求解算法 法。实例表明了模型的合理性和算法的有效性。     

模式间相互影响时估计O-D需求的双层规划模型及求解算法

考虑各种交通模式间的相互影响 ,利用多模式均衡配流的变分不等式模型 ,建立了拥挤条件下多模式 O-D需求估计问题的双层规划模型 .并在对多模式均衡配流变分不等式模型进行灵敏度分析的基础上 ,给出了关于此类双层规划模型的基于灵敏度分析的求解算法 .最后进行了数值试验.     

A Family of Reliable H_∞ State-Feedback Controllers for Nonlinear Systems with Strictly Redundant Actuators: the Full Information Case

1　 IntroductionInherited from state space linear H∞ control theory,a number of nonlinear H∞ solutionshave been presented in terms of various formulations.The nonlinear H∞ control problemcan be stated as follows:find a compensator,either state feedback ormore general outputfeedback such that( 1 ) the internal state of the closed-loop system is stable and( 2 ) the L2 -gain of the mapping from the exogenous input disturbance to the controlled output liketracking error or cost variables is mi…     

基于变分不等式的网络广告资源分配的超网络模型

为优化网络广告资源分配,提高网络广告的效应,建立了由m个公司和n个网站构成的网络广告资源分配的超网络模型.模型中采用点击量、转化量及显示概率作为权值的展示量来说明广告效果,得到了模型的优化条件并且将其转化为有限维的变分不等式.提出了利用变分不等式算法揭示网络广告资源分配的网络结构.数值模拟结果表明:在一定误差范围内,可得到模型的平衡解.     

关于Aczel-Popoviciu-Vasic不等式

给出了Aczel-Popoviciu-Vasic不等式的改进.     

一个较为精确多参数半离散的Hilbert型不等式

应用权系数的方法及改进的Euler-Maclaurin求和公式,建立一个具有最佳常数因子的较为精确多参数半离散的Hilbert型不等式,并考虑了它的最佳推广式及等价式.     

关于Van Der Corput不等式加强的进一步改进

利用传统方法,将Van Der Corput不等式的一个加强式做了改进,建立了Van Der Corput不等式两个更强的加强式,它们优于现有的众多结论.