航电系统SCI互连的可靠性模型研究

研究未来航电系统关键协议——SCI(可扩展的一致性接口)的可靠性建模问题.从SCI互连的基本模型出发,提出了基于任务的系统可靠性分析方法,建立了系统的可靠性模型,并针对航电系统中SCI的蝶型互连进行了可靠性分析,指明该方法在航电系统设计阶段对于任务划分和拓扑选择都将起到指导作用.      

一种基于混沌神经网络的拟人智能控制方法

提出一种基于混沌神经网络(CNN)的拟人智能控制方法.首先利用拟人智能控制理论得到定性控制律(线性或非线性),然后利用CNN实现控制律的定量化.Hopfield神经网络具有快速的优化能力,但容易陷入局部极小,将遍历性的渐变混沌噪声引入其中,形成具有快速全局优化能力的CNN.对二级倒立摆控制的仿真和实验结果均表明该方法有效.      

Event-triggered cooperative target tracking in wireless sensor networks

Since the issues of low communication bandwidth supply and limited battery capacity are very crucial for wireless sensor networks, this paper focuses on the problem of event-triggered cooperative target tracking based on set-membership information filtering. We study some fundamental properties of the set-membership information filter with multiple sensor measure-ments. First, a sufficient condition is derived for the set-membership information filter, under which the boundedness of the outer ellipsoidal approximation set of the estimation means is guaranteed. Second, the equivalence property between the parallel and sequential versions of the set-membership information filter is presented. Finally, the results are applied to a 1D event-triggered target tracking scenario in which the negative information is exploited in the sense that the measurements that do not satisfy the triggering conditions are modelled as set-membership mea-surements. The tracking performance of the proposed method is validated with extensive Monte Carlo simulations.     

UMR: A utility-maximizing routing algorithm for delay-sensitive service in LEO satellite networks

This paper develops a routing algorithm for delay-sensitive packet transmission in a low earth orbit multi-hop satellite network consists of micro-satellites. The micro-satellite low earth orbit(MS-LEO) network endures unstable link connection and frequent link congestion due to the uneven user distribution and the link capacity variations. The proposed routing algorithm,referred to as the utility maximizing routing(UMR) algorithm, improve the network utility of the MS-LEO network for carrying flows with strict end-to-end delay bound requirement. In UMR, first, a link state parameter is defined to capture the link reliability on continuing to keep the end-to-end delay into constraint; then, on the basis of this parameter, a routing metric is formulated and a routing scheme is designed for balancing the reliability in delay bound guarantee among paths and building a path maximizing the network utility expectation. While the UMR algorithm has many advantages, it may result in a higher blocking rate of new calls. This phenomenon is discussed and a weight factor is introduced into UMR to provide a flexible performance option for network operator. A set of simulations are conducted to verify the good performance of UMR, in terms of balancing the traffic distribution on inter-satellite links, reducing the flow interruption rate,and improving the network utility.     

一类Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性

利用Lyapunov泛函、不等式方法及Poincaré映射,建立了一类具有混合时滞的Cohen-Grossberg型BAM脉冲神经网络周期解的存在性和全局指数稳定性的充分性判据。     

神经网络在计算复合材料刚度退化中的应用

复合材料层合板的刚度退化相当复杂,并且是非线性的,目前缺乏足够的理论依据,很难按实际情况计算.本文从神经网络的角度出发,借助于神经网络的自适应性,通过对材料的实际载荷和实测应变值进行学习,使网络掌握其中各层的刚度变化规律.并且通过数值仿真和实验验证,证明此方法是完全可行的.     

无人机对雷达组网航迹欺骗综述

未来战争对体系作战的需求不仅仅是靠规模"以量取胜",更要有战术上的智谋"以活胜僵"。通过干扰敌方对我方的意图推断,甚至设计出让敌方相信的假意图,能够在双方的博弈中塑造态势,取得先手,从顶层设计和战术策略上掌握主动权。运用无人机对敌方组网雷达进行航迹欺骗就是一种有效的对抗手段,能够在实现对敌探测的同时,消耗敌方雷达组网的计算资源,干扰敌方雷达及幕后指挥员对我方作战意图的推断,同时提高己方态势感知能力和生存力。本文首先介绍了航迹欺骗干扰的概念,并以时间为序,分类梳理了国内外各研究团队在航迹欺骗领域取得的技术成果;然后针对航迹欺骗干扰的特点,详细分析了虚假航迹设计和生成、由不确定性误差导致的估计问题、延时转发策略和同源检验准则、以及动力学约束问题等4个方面的关键问题和技术难点;最后展望了航迹欺骗的应用前景和下一步研究方向。     

基于非线性Wiener过程的航空发动机性能衰减建模与剩余寿命预测

针对航空发动机在性能衰减过程中普遍存在的非线性和三源不确定性问题,提出了一种基于非线性Wiener过程的航空发动机性能衰减建模与剩余寿命（RUL）预测方法。首先,为解决目前大多数剩余寿命预测方法中潜在假设的局限性,即当前时刻估计的漂移系数与上一时刻漂移系数的后验估计完全相等,在状态空间模型的框架下建立了一类新的同时考虑非线性和三源不确定性的性能衰减模型,并在首达时间下推导出剩余寿命的分布。然后,针对新研发航空发动机缺乏历史数据和先验信息的问题,提出了一种基于Kalman滤波和条件期望最大化（ECM）算法的参数估计方法,使得估计的模型参数不依赖于历史数据量。同时能够在获得一个新的性能衰减数据后,实现对模型参数的自适应估计和在线更新,进而实时地更新航空发动机的剩余寿命分布。实验结果表明,本文方法可以有效地提高剩余寿命预测的准确性,能为航空发动机的维修决策提供可靠的依据。     

Wireless sensor networks for planetary exploration: Experimental assessment of communication and deployment

Planetary surface exploration is an appealing application of wireless sensor networks that has been investigated in recent years by the space community, including the European Space Agency. The idea is to deploy a number of self-organizing sensor nodes forming a wireless networked architecture to provide a distributed instrument for the study and exploration of a planetary body. To explore this concept, ESA has funded the research project RF Wireless for Planetary Exploration (RF-WIPE), carried out by GMV, SUPSI and UPM. The purpose of RF-WIPE was to simulate and prototype a wireless sensor network in order to assess the potential and limitations of the technology for the purposes of planetary exploration.     

一种GEO/LEO双层卫星网络路由算法及仿真研究

时间虚拟化策略的时间片过短将影响路由性能,提出一种基于GEO/LEO双层卫星网络的时间虚拟化和分层管理的路由算法（VLRA）,对时间虚拟化策略进行合理改进,通过新的分层管理思想,在每个时间片开始进行路由计算和更新。分析和仿真验证表明,改进的时间虚拟化策略得到的时间片更合理,利于网络的路由和通信。GEO/LEO双层卫星网络下VLRA算法时延稳定,并具有较好的丢包率和吞吐量性能。