基于AFSA的自抗扰控制器参数整定

自抗扰控制器（ADRC）的参数众多,通常依赖于人工试凑优化,控制系统的性能好坏过分取决于设计人员的经验且效率不高。针对ADRC的参数选取问题,首次利用鱼群算法（AFSA）全局寻优能力强,鲁棒性好的特点,结合已有的参数整定经验,提出了一套基于AFSA的ADRC参数整定规则,并进行了数字仿真。仿真结果表明,经由基于AFSA参数整定规则优化过后的ADRC具有良好的动静态特性,提高了设计效率,验证了该方法的可行性和有效性。     

A PANEL DATA ANALYSIS OF THE NEXUS BETWEEN DEFENCE SPENDING AND GROWTH IN THE EUROPEAN UNION: A COMMENT

Abstract

This paper explains and assesses the UK experience with determining prices and profitability for non-competitive defence contracts. Three periods are considered, namely pre-1968, the 1968 Profit Formula Agreement and the changes introduced in 2014. Two cases of ‘excessive’ profits were major determinants of the 1968 Profit Formula Agreement; but continued dissatisfaction with the 1968 Agreement led to changes in 2014. The historical overview of UK experience provides a basis for understanding current UK policy and offers insights for other countries facing similar policy challenges. A critique is presented of UK policy on single source pricing and profitability.     

Defence spending and economic growth in South Africa: A supply and demand model*

This paper provides a contribution to the growing corpus of knowledge and understanding of the interaction between economic growth and defence spending in South Africa by specifying a Keynesian simultaneous equation model and estimating the system for the period 1961 to 1997. The model contains a growth equation, a savings equation, a trade balance equation and a military burden equation and when estimated by single equation and systems estimation methods is relatively well specified. There is evidence of an overall negative effect of military spending on the economy over this period, though the significance of individual coefficients is low. There is certainly no evidence of any positive impact, suggesting that cuts in military spending do present an opportunity for improved macroeconomic performance.     

How Different Terrorist Attacks Affect Stock Markets

Terrorist attacks adversely affect the Pakistani stock market. However, such effect is short-lived: the market recovers from terrorist shocks in one day. The impact of attack depends on the locations and types of attack. The more severe the attack (i.e. more people killed), the more negative is the KSE-100 index return. Most interestingly, stock market contains information about future attacks. In sum, different tactics of terrorists have varied effects on financial markets, which in turn can predict terrorist attacks.     

瞄准线稳定精度的影响因素仿真

瞄准线稳定精度是直升机载稳瞄系统的关键技术指标之一,它影响着系统的其他关键性指标如照射精度、跟踪精度、作用距离等。因此提高瞄准线稳定精度是设计和研制机载稳瞄系统至关重要的一项任务。论文分析和研究了影响瞄准线稳定精度的因素,并采用Simulink建立数学模型,对瞄准线稳定精度的影响因素进行仿真分析,得到各因素对稳定精度的影响趋势,为机载稳瞄系统的设计工作提供了理论基础。     

基于BP神经网络的防空预警雷达阵地选址决策方法

防空预警雷达阵地选址的优劣直接影响到雷达本身及防空武器作战效能的发挥。为了在雷达阵地选址中快速处理繁多的数据和进行定量分析,减少人为主观因素,给出了防空预警雷达阵地选址决策指标体系,并构建了基于BP神经网络的防空预警雷达阵地选址决策模型。最后通过实例验证了该模型对优选防空预警雷达阵地选址具有可行性和实用性。     

多无人机梯次攻击航路规划

为了解决多无人机协同攻击航路规划问题,基于一种雷达威胁等效方法,以及无人机在不同姿态下雷达散射截面RCS(Radar Cross-Section)值随之改变的特性,结合多机作战战术思想,提出了一种多无人机梯次协同攻击同一目标的方法,并利用Dijkstra算法进行多无人机航路规划.仿真结果表明,该方法具有更高的应用价值.     

STCN的对岸打击时间协同冲突消解研究

为验证航空兵对岸打击中时间协同计划的可行性以及快速地调整时间协同计划,建立了任务间的简单时间约束网络(STCN),并转化成权值矩阵的形式.根据权值矩阵特点,提出了一种检测STCN一致性的权值矩阵法,大大降低了算法复杂度.为加快时间协同计划的调整速度,基于检测结果,提出了一种代价最小的冲突消解方法,避免了消解过程中的重复检测问题,提高了效率,使计划调整更加快捷高效.     

多传感器目标识别和火力分配群决策算法

针对多传感器目标识别的群决策问题,考虑到多目标威胁程度评价指标属性的模糊性,首先将多传感器目标评价属性的定量、定性描述指标统一转化为三角模糊数,充分利用三角模糊数性质构建群决策函数,实现定量指标与定性指标的规范化处理,在此基础上提出一种基于加权矩阵排序的三角模糊数多传感器目标识别的群决策算法,实现对多传感器目标的威胁程度的综合评估.最后,通过多传感器目标评估实例分析并证明了算法的可行性和有效性.同时实验发现该算法对于多属性、多评价者的群体决策具有优势,且不易受外界参数变化的影响.     

利用拖尾能量提高蝶形天线辐射效率

蝶形天线在探地雷达中已有广泛的运用,但其辐射效率不高的问题一直存在。究其原因,主要是将近70%的辐射能量是以有碍目标探测的拖尾的形式存在。为了保证探测性能,传统上可观的拖尾能量往往以阻抗加载的方式被吸收掉。本文研究发现,当选择双极性单周波作为激励脉冲时,通过优化天线长度可以实现拖尾能量的有效利用,从而显著地提高蝶形天线的辐射效率。仿真实验结果表明,在较远的探测距离上本文方法可以将辐射效率提高近100%。通过实测实验进一步验证了本文方法的有效性。此外,本文所提的方法易于工程实现,工程应用价值十分明显。