Saddle Point Criteria in Nonsmooth Semi-Infinite Minimax Fractional Programming Problems

This paper considers a nonsmooth semi-infinite minimax fractional programming problem (SIMFP) involving locally Lipschitz invex functions. The authors establish necessary optimality conditions for SIMFP. The authors establish the relationship between an optimal solution of SIMFP and saddle point of scalar Lagrange function for SIMFP. Further, the authors study saddle point criteria of a vector Lagrange function defined for SIMFP.     

MAXIMUM ENTROPY METHODS FOR CONSTRAINED OPTIMIZATION AND MINIMAX PROBLEMS

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精馏塔极小极大鲁棒非脆弱控制的研究

将极小极大控制器的设计应用于精馏塔模型。考虑系统和控制器同时含有不确定性,利用线性矩阵不等式(LMI)处理方法和Lyapunov稳定性理论,设计了鲁棒且非脆弱的极小极大控制器。考虑不确定性对系统破坏最大的情形,分别给出含有加性和乘性干扰增益的控制器存在条件。引入凸优化算法,求解使闭环系统渐近稳定且性能指标上界最小的最优控制器参数。仿真结果表明所设计的控制器具有良好的鲁棒性和非脆弱性。     

Newton type methods for solving nonsmooth equations

1.INTRODUCTION Thenonsmoothequationsproblemplaysanimportant roleinengineering,systemanalysis,management scienceandetc.Manypublicationsdealtwiththe methodsforsolutionofnonsmoothequations,see Refs.[1～4].Letusconsiderthesystemofnons moothequations F(x)=0(1)whereF∶Rn→RmislocallyLipschitzian.NewtonmethodsforsolvingthenonsmoothEq.(1)aregiven asfollows xk+1=xk-V-1kF(xk)(2)whereVkisanelementofvarioussubdifferentialsof Fatxk,forinstance,Clarkesubdifferential[1],B differential[2],b differen…     

周边式对接机构航天器的对接动力学仿真（第2部分）——约束动力学

建立了两个航天器对接系统的约束动力学方程，在论文第一部分所建立的运动学约束方程的基础上，提出运用D’Alembert正交补方法消除系统动力学方程中的未知接触约束力，解决了约束方程的维数是不确定变化条件的系统动力学方程的数值求解问题，而且还开发出周边式对接机构航天器的对接动力学分析与仿真通用软件。最后，通过算例验正了理论方法及软件的有效性。     

Sufficiency and duality for nonsmooth multiobjective programming problems involving generalized univex functions

In this paper, nonsmooth univex, nonsmooth quasiunivex, and nonsmooth pseudounivex functions are introduced. By utilizing these new concepts, sufficient optimality conditions for a weakly efficient solution of the nonsmooth multiobjective programming problem are established. Weak and strong duality theorems axe also derived for Mond-Weir type multiobjective dual programs.     

非光滑两级优化问题的必要条件及其算法

利用集值分析、非光滑分析与优化理论,研究了两级优化问题的性质、结构,提出了处理这类问题的一个通用性结构化模型,并利用该模型导出了非凸非光滑条件下两级优化问题的微分包含型必要条件,最后给出了其求解的算法及算例．     

具有多值映射的两级优化问题的广义算法研究

两级优化问题是一种非凸非光滑问题，绝大多数问题的求解都是建立在下层有唯一解的基础之上的。而本文针对多值映射，即下层非唯一解的情形，利用隐函数理论，将两级优化问题转化为带有隐函数的非光滑问题，提出求解这类问题的广义算法框架，并证明其收敛性，最后通过实例验证该方法的实用性．     

动态非光滑Nash协商解必要条件的研究

本文利用非光滑分析理论，采用公理化方法研究了非光滑情形下的动态协商对策问题，给出其Ｎａｓｈ协商解的必要条件，并给予了严格的数学证明．     

Adjustable entropy method for solving convex inequality problem

To solve the inequality problem, an adjustable entropy method is proposed. An inequality problem can be transformed into a minimax problem which is nondifferentiable; then an adjustable entropy is used to smooth the minimax problem. The solution of inequalities can be approached by using a BFGS algorithm of the standard optimization method. Some properties of the new approximate function are presented and then the global convergence are given according to the algorithm. Two numerical examples illustrate that the proposed method is efficient and is superior to the former ones.     

An Application of the Stability Theory in Constrained Nonlinear Optimization

1　 IntroductionIt is known that a given constrained nonlinear optimization problem can be transformedand solved by ordinary differential equations(ODE) [4,5] .Based on the preliminary resultsof [8～ 1 2 ] ,this paper uses a stability theory of ODE systems to analyze the asymptoticalproperties of differential equations which are derived from a given constrained nonlinearoptimization problem.We also state conditions of the overall uniform asymptoticalstability of the singular points aboutpart…     

Delay differential equations under nonlinear impulsive control and applications to neural network models

In this paper,a class of delay differential equations with nonlinear impulsive control is discussed.Based on the nonsmooth analysis,criteria of stability are obtained for delay differential equations with nonlinear impulses control under certain conditions.These criteria can be applied to some neural network models.At the end of the paper,two examples are provided to illustrate the feasibility and effectiveness of the proposed results.     

基于自适应未知输入观测器的多故障快速重构

针对一类非线性函数中耦合执行器故障的非线性动态系统, 提出一种基于自适应未知输入观测器的多故障快速重构方法, 通过引入比例项提高故障重构的快速性。首先, 将执行器故障进行解耦处理并构建包含传感器故障的增广系统。然后, 综合H_∞性能指标给出状态估计误差的稳定性证明。接着, 将观测器增益矩阵的求解转化为受线线矩阵不等式约束的非线性优化问题, 并实现执行器故障和传感器故障的多故障重构。最后, 结合单关节柔性机器人算例仿真验证了所提方法的有效性。     

证券选择的极大极小设计方法

在现代金融理论的基本框架下,提出了证券选择的极大极小设计(即最差情况最优化)的概念与方法主要证明了当金融市场完备时使最差情况证券收益率最优的证券组合的存在性,给出极大极小收益率的大小及求解最优证券组合的方法最后还基于简单的算例讨论了极大极小证券选择方法的特点等问题.     

有包丢失的动态输出反馈奇异网络化系统稳定性分析

基于正则、无脉冲的奇异被控对象,研究了同时具有时延和数据包丢失的动态输出反馈网络控制系统的建模和稳定性问题。 当时延不大于一个采样周期、数据包丢失率一定时,将动态输出反馈网络控制系统建模为数据包丢失率约束的异步动态切换系统,利用切换系统和线性矩阵不等式方法,推导出数据包丢失率约束的系统指数稳定的充分条件,并且给出了系统指数稳定的指数衰减率以及最大容许数据包丢失率。仿真实验说明分析方法和研究结果是有效可行的。     

Novel method based on ant colony opti mization for solving ill-conditioned linear systems of equations

1 .INTRODUCTIONStudies have shownthat some systems are highlysen-sitive :a small perturbationin the data can result in alarge changeinthe solutions .Such systems are calledill-conditioned systems .Ill-conditionedlinear systemsof equations have a wide application in many fieldssuch asi magine processing,deconvolution, model pa-rameters esti mation.Because the condition number ofill-conditionedlinear systems of equationsis very big,the data error andthe rounding error inthe computa-tional p…     

一个典型C~3I系统的微分方程作战模型的建立

本文针对目前C~3I系统建模研究遇到的难题:如何把C~3I系统的组成内容与它所处的战争环境结合起来,运用复杂系统的一些建模方法、基于问题导向的原则,提出了一套战争环境下C~3I系统建模的规范化建模方法,使C~3I系统与军方常用于描述作战的Lanchester型格斗方程有机地结合起来,形成C~3I系统的作战方程。文中以一个典型的防空作战的C~3I想定进行了具体的计算,建立了该想定的微分方程模型。结果表明,这种方法解决了C~3I系统与Lanchester方程的结合问题,从而使C~3I系统本身的各个组成部分能在模型中与作战环境有机地结合起来。     

Robust output regulation problem for discrete-time linear systems with both input and communication delays

Recently, the robust output regulation problem for continuous-time linear systems with both input and communication time-delays was studied. This paper will further present the results on the robust output regulation problem for discrete-time linear systems with input and communication delays. The motivation of this paper comes from two aspects. First, it is known that the solvability of the output regulation problem for linear systems is dictated by two matrix equations. While, for delay-free systems, these two matrix equations are same for both continuous-time systems and discrete-time systems, they are different for continuous-time time-delay systems and discrete-time time-delay systems. Second, the stabilization methods for continuous-time timedelay systems and discrete-time time-delay systems are also somehow different. Thus, an independent treatment of the robust output regulation problem for discrete-time time-delay systems will be useful and necessary.     

基于乘性四元数和约束滤波的飞行器姿态估计算法

以单位四元数作为姿态描述参数提出一种乘性约束姿态估计算法。四元数具有全局非奇异、运动学方程双线性的优点,但归一化约束条件必须精确保持。首先,比较了加性和乘性滤波算法在估计误差定义和校正方式上的差别,并从物理概念和估计精度上详细分析了无约束四元数估计算法的不足。然后,针对“矢量测量+陀螺”姿态观测模式,利用乘性约束滤波算法设计了姿态估计器。针对状态部分受约束的姿态估计问题,推导了状态和方差预测方程及状态受约束的最优增益矩阵,并将约束增益矩阵应用到姿态估计算法的测量更新过程。最后,通过数学仿真验证了算法在估计精度和收敛性能上的优越性。     

基于模式搜索的类电磁算法求解约束优化问题

针对约束优化问题,提出了一种基于模式搜索的类电磁算法。引入了粒子的违反度函数,将约束优化问题转化为双目标无约束优化模型来求解;提出了双目标模型中粒子的电荷和受力的计算公式,引导不可行粒子转化为满足约束条件的粒子;为了提高算法的搜索能力,结合模式搜索算法改进种群中的粒子,为类电磁算法提供了有效的局部信息。与以往算法仿真结果相比,新算法具有性能好、较稳定的优点。