基于并行子系统的飞行器多学科稳健优化设计

研究了并行子系统稳健优化设计方法在飞行器设计中的应用。分别采用并行子系统稳健优化设计、系统分析和并行子系统分析3种不同方法进行了计算,得出的稳健结果表明并行子系统稳健优化设计方法优于其它2种方法。该方法主要有3大改进:一是在MDO环境中,增加了不确定性的分析;二是允许系统层使用离散变量;三是在系统协调过程中,采用人工神经网络的响应面提供定量的近似信息。     

基于粒子群算法的认知无线电下行链路中的OFDMA资源分配算法

认知无线电技术是解决当前频谱资源紧缺情况的有效手段,其中功率和频谱联合分配问题是一个非常重要的环节.用一个联合矩阵代替传统的功率分配矩阵和频谱分配指示矩阵,以系统总发射功率最小和在不对主用户造成干扰的条件下最大化系统的吞吐量为目标,并应用粒子群算法求解该问题.重新设计了粒子群算法的位置和速度更新策略,更适合于求解联合优化问题.仿真结果表明,新算法复杂度要优于传统利用粒子群算法求解,且提高了系统吞吐量.     

English engineer John Smeaton's experimental method(s): Optimisation,hypothesis testing and exploratory experimentation

In this paper I provide a detailed account of eighteenth-century engineer John Smeaton's experimental methods, with the aim of bringing our understanding of his work into line with recent research in the history and philosophy of science. Starting from his use of the technique of parameter variation, I identify three distinct methodological aims in the research he carried out on waterwheels, windmills and hydraulic mortars. These aims are: optimisation, hypothesis testing and maxim generation. The main claim of this paper is that Smeaton did more than merely improve engineering methods by systematising earlier artisanal approaches, which is the classic view of Smeaton's method developed by historians of technology in the 1990s. I argue instead that his approach bridged the divide between science and technology, by integrating both hypothesis testing and exploratory experimentation. This is borne out, in particular, by the way that Smeaton emphasised the exploratory side of the work he published in the Philosophical Transactions, in contrast to his account of the construction of the Eddystone lighthouse, which was aimed at a broader, non-specialist public. I contribute to recent research on exploratory experimentation by showing – in line with other work on this topic – that exploratory experimentation is not incompatible with hypothesis testing. This new perspective on Smeaton's method will hopefully lead to further research and new insights into the relation between science and technology at the start of the Industrial Revolution.     

网流技术的不良状态校正法用于安全有功经济调度

本文应用网流技术中“不良状态校正法”(Out of Kilter Algorithm,简称OKA),研究了具有安全约束的有功经济调度问题。网络规划法具有运算简便、快速、收敛可靠的特点,而OKA又能处理非零下界约束和不可行流的情况,特别适于解算具有安全约束的有功再调度问题。文中给出了算法的主要步骤和算例,并对试验系统作了经济调度的计算,证明了本方法的可行性和有效性。