基于模糊TOPSIS的FMEA方法

针对传统故障模式及影响分析(FMEA)中评价故障模式的影响因素和计算风险优先数存在的缺陷,提出了一种基于模糊逼近理想解排序法(TOPSIS)的FMEA方法。该方法采用模糊置信结构对影响因素的评价进行表示,并通过去模糊化和加权平均建立明确置信矩阵。考虑各影响因素的权重对分析结果的重要性,将主、客观赋权法相结合来分配各影响因素的权重,进而建立加权规范化矩阵,根据相对贴近度的大小确定各故障模式的风险水平。最后,举例验证了该方法的可行性和有效性。      

地空导弹LQG/LTR增益调度自动驾驶仪设计(英文)

采用线性二次高斯/回路传递复现(LQG/LTR)增益调度技术设计地空导弹增益调度自动驾驶仪。为消除传统"试错"设计过程在系统中所引起的人为不确定性,提出一种基于极点配置的目标回路设计方法。此方法提供了由体现性能指标要求的期望极点构造矩阵微分Riccati方程(MDRE)的具体算法。同时,还证明了引入积分环节扩展被控对象动力学,能够有效抑制LQG/LTR增益调度控制器的快模态,从而为LQG/LTR增益调度技术的工程应用扫清了一个障碍。采用所提出的方法设计了地空导弹LQG/LTR增益调度自动驾驶仪。设计及仿真结果表明,控制器的快模态得到了明显抑制,同时,在飞行马赫数和高度变化的情况下,自动驾驶仪具有稳定的动力学特性。     

软实时分布式系统中的时间期限分配

在分布环境下 ,任务在多个不同的站点上有处理要求。一个分布式任务需要划分成几个子任务 ,每个子任务在指定的站点上执行。在实时系统中 ,当要完成一个分布式任务时 ,应用系统的设计者经常要把总体时间细化。本文提出如何自动把总体时间期限转换为子任务的时间期限的方法。     

空间站的混合自适应控制

本文推导出两板空间站的连续传递矩阵左分解模型;在此基础上,建立了该空间站的一种极点配置混合自适应控制算法,通过计算机仿真验证了该算法的有效性和鲁棒性。     

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

Flooding is the overflow of water from stream, river, lake and sea that occurs all over the world and has disastrous effects on human society and environment. Frequent severe flood event in eastern India cause of death and damages every year so, the development of flood susceptibility method is needed for identifying the flood vulnerability areas to reduce the damages. Techniques of Remote Sensing (RS) and Geographical Information System (GIS) can help to flood susceptibility modeling by the accrued and analyzing huge amount of data in short time. The main objectives of this study are to determine the effectiveness of Evidence Belief Function (EBF), binomial Logistic Regression (LR) and ensemble of EBF and LR (EBF-LR) model with RS and GIS techniques for flood susceptibility mapping and spatial prediction of flood-susceptible areas in the Koiya river basin of West Bengal, India. Eight flood conditioning factors; Land use and land cover (LULC), soil, rainfall, normalized differences vegetation index (NDVI), distance to river, elevation, topographic wetness index (TWI) and stream power index (SPI) have been used, and total 264 historical flooding points were mapped, and randomly divided in to training (70%) and validating (30%) dataset. Flood susceptibility map has been generated by applying EBF, LR and ensemble EBF-LR method with the help of training and eight causative factors dataset. The maps have been divided in to six classes; extremely low, very low, low, moderate, high and very high. The receiver operating characteristic (ROC) curve has been used to accuracy assessment of the susceptibility map, and the area under curve (AUC) disclosures 87.9%, 85.2% and 84.1% prediction rate for the EBF-LR, EBF and LR model, respectively. This study is helpful to flood management program, dissection makers and planning in local administrative level.     

“后方法”时代基础英语立体教学模式构建

"后方法"是一种基于语境的教学主张和一系列宏观策略,并从根本上超越传统"教学法"概念的外语教学思想,它不是否定教学法而是强调将各种教学法"本土化"。在后方法教学观指导下,通过教学观念、教学手段、教学内容、教学形式、教学评价等的立体化,构建基础英语立体教学模式,实现教师教学实践理论化,践行"教师赋权"和"学习者自主"。     

一种兼顾卫星导航系统星间观测及通信的链路分配算法

卫星导航系统星间采用点波束建立星间链路时,由于星上波束数量小于可建立星间链路的卫星数量,因此便产生了如何有效分配有限波束来建立星间链路的问题。针对该问题首先利用星座运行的周期性提出了一种适用于星间观测及星间通信的拓扑处理方式,并以该拓扑处理方式为基础提出了一种链路分配算法。算法在保证星间观测数量最大化的前提下,以降低整网通信代价为优化目标,尽管为了保证星间观测数量会不可避免地导致通信性能的部分损失,但是仿真结果表明算法的性能整体上优于铱星系统所采用的网状链路分配方法的性能。     

试论高职教育教材建设的基本思路

教材是实现教育目的的主要载体 ,教材编写得如何 ,更是能否体现高职教育特色的关键。本文针对教材建设 ,从教材编写的基本原则、基本要求及教材的发展趋势等方面提出了一些建议和设想     

Cooperative task assignment of multiple heterogeneous unmanned aerial vehicles using a modified genetic algorithm with multi-type genes

The task assignment problem of multiple heterogeneous unmanned aerial vehicles （UAVs）, concerned with cooperative decision making and control, is studied in this paper. The heterogeneous vehicles have different operational capabilities and kinematic constraints, and carry limited resources （e.g., weapons） onboard. They are designated to perform multiple consecutive tasks cooperatively on multiple ground targets. The problem becomes much more complicated because of these terms of heterogeneity. In order to tackle the challenge, we modify the former genetic algorithm with multi-type genes to stochastically search a best solution. Genes of chromo- somes are different, and they are assorted into several types according to the tasks that must be performed on targets. Different types of genes are processed specifically in the improved genetic operators including initialization, crossover, and mutation. We also present a mirror representation of vehicles to deal with the limited resource constraint. Feasible chromosomes that vehicles could perform tasks using their limited resources under the assignment are created and evolved by genetic operators. The effect of the proposed algorithm is demonstrated in numerical simulations. The results show that it effectively provides good feasible solutions and finds an optimal one.     

Robust eigenstructure assignment based on μ-analysis applied to flight control law design

针对特征结构配置应用于飞行控制律设计鲁棒性较差的问题,提出了一种新的鲁棒特征结构配置方法.该方法结合参数化特征结构配置与μ分析,把鲁棒特征结构配置问题转化为包含系统全部自由参数的带约束条件的非线性优化问题.根据飞行控制律特点,提出分步优化策略解决鲁棒特征结构配置多变量优化问题,以降低问题复杂度,同时采用等值分布曲线直观描述优化指标随设计参数变化规律.该方法利用系统全部自由度提高系统鲁棒性,并对自由参数施加约束条件以保证标称闭环系统性能.仿真表明该方法能满足一级飞行品质要求,提高系统鲁棒性,减小保守性.