Primary Structural and Quantitative Analysis of Infeasible Solution to Job shop Scheduling Problem

1　IntroductionTheJobShopSchedulingProblemisawell-knownNP-hardproblem,whichattractslotsofmathematiciansallovertheworldspendingmuchtimeandenergyinthisfield.Uptonowtherearemanyefficientheuristicalgorithms,whichhadalreadybeendeveloped,buttheinfeasiblesolutioncertainlypossessesthemajorityofsearchspacewhichhasinfluencedtheefficiencyofthesealgorithms.Atthemoment,noonehasbeenfoundtobededicatingtothequantitativeanalysisoftheinfeasiblesolutionproblem.InthispaperthestructureofinfeasiblesolutiontoJSS…     

基于有色赋时Petri网的半导体生产线建模技术研究

在深入了解半导体制造过程的基础上,为了有效分析半导体生产线调度与控制性能,提出了有色赋时Petri网的半导体生产线建模方法。该模型,根据生产线所存在主要调度子问题及其之间的相互关系,将半导体生产线划分为投料控制模块、路径调度模块和工件调度模块,这样可以有效降低模型的复杂性和提高模型的可重用性。建立以一个拥有3个工作中心、6台设备的半导体生产线Petri网模型,并对模型进行分析。最后指出了下一步的工作目标。     

基于创新SWOT矩阵模型的民营高科技生物企业技术竞争战略——上海某生物医药公司个案研究

传统的SWOT分析比较依赖于分析者主观的认识,故常流于形式而缺乏真正的实用价值。采用创新SWOT分析模型,从客观的角度来计估上海某生物医药企业的技术竞争力。同时,将分析的结果与该企业未来的技术发展战略目标加以比较,以考察技术发展战略目标的合理性与实用性。最后,对技术竞争战略、营销战略和生产战略提出针对性建议。     

Markov跳变系统的单步约束预测控制

针对离散Markov跳变系统,研究带输出约束的单步预测控制问题。首先设计基于模态的单步预测控制器,驱动系统状态到达相应的终端不变集内,以此保证约束预测控制系统的稳定性,接着进一步讨论了系统存在峰值有界噪声输入情形。其中终端不变集是通过在预测时域外寻求一个虚拟的带约束的状态反馈控制器以保证系统的随机稳定性来获得,为计算方便,控制器的优化问题转化为SDP问题,并得到以LMI描述的优化问题。最后对Markov跳变系统描述的经济学动力系统的仿真结果说明了本控制器设计方法能够在峰值有界噪声输入下保证系统的稳定性,并且使控制变量满足给定的约束条件。     

基于遗传算法的系统辨识方法研究

针对从样本数据进行系统辨识的问题,提出一种由典型数学模型相互组合构成系统模型的新的辨识方法,将系统结构辨识问题转化为组合优化问题,并采用遗传算法同时实现了系统的结构辨识与参数辨识,模拟仿真与实际系统辨识结果验证了系统辨识方法的合理性与求解算法的有效性.     

基于观测器的不确定时滞Markov跳变系统H∞控制

讨论了一类线性不确定时滞Markov跳变系统的控制问题,针对能量有界的输入噪声,设计了基于观测器的优化鲁棒H∞控制器。基于鲁棒控制理论,通过对重构的观测器系统的分析,提出了使得系统随机稳定且满足一定输入输出H∞增益的模态依赖的控制器存在条件。结合构造的Lyapunov函数和线性矩阵不等式变换,给出了H∞控制器的设计方法,并将其描述为一个优化问题。基于观测器设计的优化H∞控制器使系统具有随机稳定性,状态的跟踪性能好,抑制干扰能力强,满足所给的范数指标。仿真示例说明了设计方法的有效性。     

Hardware system design for UHF surface velocities radar

UHF surface velocities radar is developed based on the successful ocean state measuring and analyzing radar system. The design method for UHF radar system is presented. It is designed to operate at UHF channel, and the transmit power is under 5W. Maximum range of field test over fresh water can be a kilometer. The field tests at Tangsun River and at Majiatan and Gaohazhou proved that USVR System can be used successfully.     

Method of moving target detection based on sub-image cancellation for single-antenna airborne synthetic aperture radar

The method of moving target detection based on subimage cancellation for single-antenna airborne SAR is presented.First the subimage is obtained through frequency processing is pointed out.The imaging difference of a stationary objects and moving object in the subimage based on the frequency division is analyzed from the fundamental principle.Then the developed method combines the shear averaging algorithm to focus on the moving target in the subimage,after the clutter suppression and the focusing position in each subimage is obtained.Next the observation model and the relative movement of the moving targets between the subimages estimate the moving targets.The theoretical analysis and simulation results demonstrate that the method is effective and can not only detect the moving targets,but also estimate their motion parameters precisely.     

A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity

Company bankruptcies cost billions of dollars in losses to banks each year. Thus credit risk prediction is a critical part of a bank＇s loan approval decision process. Traditional financial models for credit risk prediction are no longer adequate for describing today＇s complex relationship between the financial health and potential bankruptcy of a company. In this work, a multiple classifier system （embedded in a multiple intelligent agent system） is proposed to predict the financial health of a company. In our model, each individual agent （classifier） makes a prediction on the likelihood of credit risk based on only partial information of the company. Each of the agents is an expert, but has limited knowledge （represented by features） about the company. The decisions of all agents are combined together to form a final credit risk prediction. Experiments show that our model out-performs other existing methods using the benchmarking Compustat American Corporations dataset.     

基于手机定位的交通OD数据获取技术

出行OD是进行交通规划和路网管理的重要基础信息,是反映出行需求空间分布的重要参数,其准确程度将影响交通分配模型的效果。由于传统的居民出行调查、电话调查以及路边询问等调查方式存在较大局限性,因此实际中很难获取高质量的OD数据。利用已有的手机通信网络设施,借助手机定位技术对目标对象进行连续位置跟踪,通过数据处理和建模分析提取追踪对象的OD信息。本文根据对目标对象进行位置追踪所采用的技术不同分为两类：（1）通过信号强度参数结合几何原理定位得到手机的平面坐标;（2）通过通信网络所记录的手机位置变化的位置区数据。