基于GA优化的城市可持续发展评价的普适公式

在分析城市可持续发展指标体系的特征基础上,分别确定了用遗传算法优化的持续、协调、结构和集聚４类单项指标的发展指数的普适公式;并对可持续发展的不同层次指标分别采用广义对比分析法和层次分析法进行加权,建立了城市可持续发展的综合指数评价模型。模型应用于乌鲁木齐的可持续发展评价结果与实况定性分析结果一致。该评价模型简单、实用,具有可比性和通用性。     

Spectral Properties and Positivity of Flows in Infinite Networks with Dynamic Boundary Control Nodes

In this paper we study transport processes on infinite networks with dynamic boundary control nodes. These flows can be modeled by operator semigroups on a suitable Banach space. Using functional analytical and graph theoretical methods, we investigate its spectral properties of the system and positivity of the semigroup under appropriate assumptions on the network.     

Design of control invariant sets of planar systems

Control invariant sets play a key role in model predictive control. Using Lyapunov function, a technique is proposed to design control invariant sets of planar systems in a precise form. First, it is designed for a linear system in Brunovsky canonical form. Then, the result is extended to general linear systems. Finally, the nonlinear control systems are considered, and some sufficient conditions and design techniques are also obtained. Numerical examples are presented to illustrate the proposed design methods.     

调节大豆籽粒生育的生理生态因素

大豆籽粒是生殖生长时期植株光合产物主要存储库,鼓粒灌浆期籽粒的生长发育以及干物质积累的过程直接影响大豆的产量。因此,研究大豆籽粒的生长发育及其影响因素对提高产量至关重要。影响大豆籽粒生长发育的因素很多,从源库的改变、外界温度、光照、水分供应以及二氧化碳的浓度的影响,酶活性、内源物质含量的调节以及植物激素的调控等方面予以综述。参64。     

考虑多重不确定性的托管药房物流调度优化

为有效控制药房托管的药品物流运营成本,本文首先结合时空网络架构,将托管药房的药品物流调度过程描绘成一种多层时空网络,继而将研究问题构建为优化领域中的多重货物网络流问题.在此基础上,综合考虑药品物流调度过程中的需求不确定性、配送服务时间不确定性以及药品供应成本的可变性,建立基于药房托管模式的药品物流调度随机优化模型并设计具有挑选规则的混合遗传算法进行求解.参数测试表明,当挑选判断系数设为0.6时,求解算法可以收敛到比较理想的解;算例分析表明,本文所设计的随机优化模型在各决策回合的解与完全信息模型解之间的逼近程度不一,但总误差仅为0.56%;敏感性分析则发现药房最低安全库设置存在一个最优均衡点.     

羊群行为加剧股票价格波动吗?

羊群行为是否加剧股票价格波动,已有研究甚至给出截然相反的结论.假定交易者买卖观点的转变主要受其对股票基础价值认知和其他交易者行为的影响,本文构建描述市场平均投资态度和股票价格变化的数学模型,利用离散动力系统的相关理论研究模型的稳定性,并根据金融市场稳定与否对羊群行为程度进行界定.研究结果表明,在轻度羊群效应区间内,股票价格相应地呈现微幅周期波动;在中度羊群效应区间内,股票价格在经历一段时间的阻尼式波动后收敛至均衡价格,并且在此区间中存在最优的羊群行为,它促使股票价格以最快的速度逼近均衡价格;而在重度羊群效应区间,股票价格发生大幅的非理性波动,可以导致股市严重泡沫和金融危机的产生.     

Collaborative Project Management: A Systemic Approach to Heavy Equipment Manufacturing Project Management

Quite often over the last decade, heavy equipment manufacturers are trying to improve their project management performance with the use of effective project management methods. However, the challenges encountered aren’t isolated problems and a systemic approach is required. This paper exemplifies how a systemic approach can be applied to heavy equipment manufacturing project (HEMP) management, through of a multifaceted vision. The findings present in the paper are based on a two-year case study in a metallurgic equipment manufacturing enterprise in China. Based on the analysis of HEMP management problems and the contributions on systemic approach application in project management, the paper enriches existing theory by: (1) interpreting the HEMP management system with the top-down disassembly method; (2) developing the collaborative project management approach with a systems view highlighting the project characteristics management and inter-departmental collaboration; (3) making suggestions for systemic approach application in project management. For practitioners and researchers, the findings are particularly meaningful for manufacturing project management and systemic approach application.     

Further results on limitations of sampled-data feedback

To control continuous-time uncertain dynamical systems with sampled data-feedback is prevalent today,but the sampling rate is usually not allowed to be arbitrarily fast due to various physical and/or computational constrains.In this paper,the authors examine the limitations of sampled-data feedback control for a class of uncertain systems in continuous-time,with sampling rate not necessary fast enough and with the unknown system structure confined to a set of functions with both linear and nonlinear growth.The limitations of the sampled-data feedback control for the uncertain systems are established quantitatively,which extends the existing related results in the literature.     

基于U-I模型的感应电机定子磁链估计的仿真研究

定子磁场定向的直接转矩控制逐渐被广泛应用于高性能异步电机调速系统。定子磁链估计精度是影响控制系统动态、稳态性能的主要因素。由于定子电阻参数变化及低通滤波器的影响，尤其低速运行时，传统定子磁链估计方法的估计精度及快速性往往很差。提出了一个全新的改进U-I模型定子磁链估计方案，不仅解决了定子电阻整定补偿问题。而且解决了低通滤波器截止频率优化补偿问题．在此基础上，建立直接转矩控制方案的仿真系统，仿真结果表明提出的方案能够使异步电机在低速到高速范围内都能得到令人满意的性能。     

基于免疫克隆选择算法的多用户检测技术研究

为了解决最佳检测器计算复杂度较高的难题，提出一种精简有效的克隆选择算法。把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。所提ICSA通过使用随机Hopfield神经网络制备疫苗构成新的免疫算子，把新的免疫算子结合到克隆选择算法中，不仅加快了克隆选择算法的收敛速度，并提高了克隆选择算法的全局收敛能力。然后在CDMA系统利用此算法设计了新的多用户检测器。仿真结果证明了ICSA检测器能够快速收敛到全局最优解，并且无论抗多址干扰和抗远近效应能力都优于传统方法和一些应用优化算法的多用户检测器。