下层为多目标的两人两层决策问题的模型及优化方法

本文针对上层为单目标,下层为多目标的两人两层决策问题,建立了它的数学模型和决策机制,然后将其转化为单层的非凸优化问题。采用外部逼近算法求解此非凸优化问题的全局最优解,这为两层决策问题提供了一种求解的途径,同时为该类问题的决策支持系统的研究是有意义的。     

加速度观测器设计与仿真

介绍了利用状态反馈综合带加速度反馈的最优控制系统，利用系统所检测的位置量和速度量设计了加速度观测器，并对综合的最优控制系统进行仿真，包括系统幅频、相频特性及状态估计值与真实状态之间的误差，最后给出了有、无加速度观测器反馈时系统跟踪晃动误差曲线。带加速度观测器反馈系统使晃动误差减小84％，滤除噪声的效果也比较好。     

希尔伯特变换器优化设计研究

提出了一种基于神经网络算法的希尔伯特变换器优化设计方法，证明了神经网络算法的收敛性，提出了希尔伯特变换器的优化设计实例。仿真结果表明了该网络模型是高效的神经网络模型。     

Design and implementation of 2DOF spherical inverted pendulum

1.INTRODUCTION Theinvertedpendulumsystemisaclassicalbench markfortheeducationandresearchintheautomation andmechanicalengineeringfield.Manyeducatorsfo cusontheinvertedpendulumcontrolsystembecause theexperimentsexhibittheadvantageandvalidityof moderncontroltheoryveryintuitively.Researchers alsohopetoverifynewalgorithmsonthesystem. Thebasicobjectiveoftheinverted pendulumsystem iskeepingthebalanceofthependulumatthe‘invert ed’status[1～3].Wehavecomparedtheperformance ofthreemoderncontrolm…     

织造过程中经纱张力计算机控制系统的研究

为了提高织机生产效率和扩大织造品种范围，提出了织造过程中经纱张力控制的目标和相适应的控制方案，研制了经纱张力计算机控制系统，达到了预期的性能指标。     

不可再生资源的最优开发与利用

在考虑资源效用最大化的基础上,通过对不可再生资源开发率模型和利用率模型的分析,给出了在有效开发率及有效利用率制约条件下的一种新模型.同时,利用极大值原理对综合模型进行求解,得到了最优控制策略.     

油气资源勘探与开发的不确定性分析及最优策略

基于油气资源勘探与开发的特点,建立了油气藏勘探发现率及储量模型,并在油气价格服从几何布朗运动条件下,以油气开采收益最大化为目标,建立了油气资源勘探与开发的随机最优控制模型,然后运用动态规划方法推导了在状态方程有几何布朗运动、带随机泊松跳过程条件下,值函数所满足的HJB方程,并对最优策略的求解进行了一些讨论.     

A ROBUST DECOMPOSITION OF LINEAR PROGRAMMING USING A GOAL-PARTITIONING METHOD

The Dantzig/Wolfe linear programming decomposition algorithm has had important economicinterpretations as well as a widespread impact on solving large scale linear programming problem.Inthis paper we consider a similar underlying structure,where however there is only one couplinginequality or equation.With this simplification,we demonstrate how to achieve an equitable partitionof the overall coupling resource to individual subproblem constraints through a simple iterationprocedure which appears to be very efficient.     

系统的分散与集中的决策：（Ⅱ）分散控制效果分析

分散集中系统是一种重要的工业过程控制系统．合适的分散度有利于提高系统的性能指标，尤其是动态响应速度和误差时间的积分值都有明显地改善．文中提出若干系统分散的选择原则，并用仿真和理论分析加以证明．     

Method for Risky Multiobjective Group Decision-Making and Its Application

The multiobjective group decision-making problem under risk is common in reality. This paper focuses on the study about risky multiobjective group decision-making problem where the index value is not certain. We give indexes classifying method and index normalizing formula of this type problem. By building objective function that minimizes general weighted distance from every alternative to the relatively best and worst alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, and by building another objective function that minimizes general weighted distance from the optimal membership degree of every decision-maker to every alternative to the group optimal alternative and the group inferior alternative, the optimal membership degree of every decision-maker to every alternative can be obtained, which are both based on probability theory and fuzzy theory. Aftermost a model is established which collects group preferences. This method provides a new idea and