Constrained cooperative control design for distributed morphing wing systems

An efficient design method is proposed for the cooperative control problem of morphing wing systems with distributed structures and bounded control inputs. The multi-agent model of the distributed morphing wing system is established. The cooperative controllers with saturation constraints are presented. By introducing the concepts in consensus algorithms, the cooperative information links in the controllers are described by graphs, and the corresponding Laplacian matrix is defined. The design conditions of the cooperative controllers are proposed, in the form of linear matrix inequalities. For the case of undirected information links, the controller design conditions are simplified as algebraic inequalities, which highly reduce the computation cost. The designed controllers are implemented on a distributed morphing wing platform, and experiments are carried out. Simulation and experiment results show that the controllers can make all the actuating units in the morphing wing system cooperatively achieve the desired positions, which demonstrates the effectiveness of the proposed theory.     

Consecutive tracking for ballistic missile based on bearings-only during boost phase

This paper proposes a modified centralized shifted Rayleigh filter(MCSRF) algorithm for tracking boost phase of ballistic missile(BM) trajectory with a highly nonlinear dynamical model based on bearings-only.This paper contributes three folds.Firstly,the mathematical model of an MCSRF for multiple passive sensors is derived.Then,minimum entropy based onedimensional optimization search to adaptively adjust the probability of the different filters for real time state estimation is deployed.Finally,the unscented transform(UT) is introduced to resolve the asymmetric state estimation problem.Simulation results show that the proposed algorithm can consecutively track the BM precisely during the boost phase.In comparison with the unscented Kalman filter(UKF) algorithm,the proposed algorithm effectively reduces the tracking position and velocity root mean square(RMS) errors,which will make more sense for early precision interception.     

基于设计特性覆盖的测试性定量分析方法

针对目前测试性分析基于故障分析的现状,提出了一种基于系统结构、性能、功能的测试性定量分析方法。定义了系统设计特性覆盖测试模型,系统结构、功能、性能及测试关联模型,性能覆盖率、功能覆盖率、结构覆盖率的定量计算模型。建立了基于设计特性覆盖的测试性定量分析流程,主要包括系统基本信息建立、信息间直接关联关系生成,测试覆盖率定量计算及测试未覆盖项分析。以某飞机舵机系统为例进行了应用,结果验证了方法的可行性和有效性。     

对MRP模型改进的研究

通过把ＭＲＰ模型与实际的生产过程进行比较和分析,指出了传统的ＭＲＰ模型的不足之处,提出了改进的ＭＲＰ理论模型．     

一种鲁棒的被动声目标识别方法

针对噪声环境下一些声目标识别技术性能严重下降的问题,提出了一种基于一阶补偿的径向基函数网络模型,并给出了该网络参数选择方法。实际应用表明,这种神经网络对噪声具有较强的鲁棒性,与传统的径向基函数网络相比,其识别性能等同于信噪比提高大约１０～１５ｄＢ。     

红外探测器成像仿真

红外探测器是红外成像技术的核心,直接影响着红外成像系统的性能。在分析目标成像尺寸的基础上,详细分析光学弥散、探测器噪声、成像阵列盲元等的形成机理,并进行建模和仿真,最后将这些模型依次叠加。采用此方法得到的仿真图像充分考虑了探测器各种效应的影响,提高了仿真图像的真实性与逼真度,可为红外成像系统的研制及目标检测识别算法提供测试场景与依据。

Abstract：

Infrared detector, which can directly influence the performance of infrared imaging system, plays a key role in infrared imaging technology. The scale of the target image, the causation of optics dispersion, noise of the detector and blind pixels in the imaging arrays were detailed analyzed. More actual infrared images would be simulated by adding the effects mentioned above to the theoretical image model, because the ill effects were calculated. The simulated images could be used to test infrared imaging system or the algorithm of target detecting and recognition.     

组合聚类与最优核v-SVR融合方法在能源系统应用

针对能源复杂系统样本数量有限、变量维数高、偶合关系复杂等问题,提出了一种组合聚类算法和最优核v-支持向量回归机SVR融合的方法。该方法采用SOM自组织映射神经网络和K-means组合的聚类算法对初始样本集合进行聚类,构成不同核函数的子支持向量回归机SVR模型,再用均方误差标准（MSE）和小误差概率对其各核函数进行优选,得到最优核函数的v-支持向量回归机SVR模型。仿真结果表明,采用这种方法进行能源供需预测是有效的,其精度优于常规的支持向量回归建模方法。

Abstract：

A method of fusion strategy with Optimal Kernel v-SVR （Support Vector Regression） and assembled clustering algorithm was proposed,facing the issues of complex energy system like limited samples,high dimension,complex coupling.The assembled clustering algorithm was used to cluster the initial samples related to energy data to form sub-SVR models based on different Kernel functions,combining Self-Organizing Map （SOM） neural network with K-means algorithm.The Mean Square Error criterion （MSE） and small error probability were used to evaluate the Kernel functions to obtain the optimal Kernel v-SVR model.The simulation results demonstrate that the proposed method is valid for predicting energy supply/demand and its accuracy is superior to the conventional SVR method.     

虚拟企业协作博弈中的双优策略

讨论了目前供应链中的虚拟企业的基本概念及出现的背景 ,介绍了动态联盟为基础的敏捷制造模式 ,从对偶线性规划和双层规划的思想出发 ,在虚拟企业中共赢策略的基础上提出双优的实施策略 ,论述了达到双优所需要的条件及可行性 ,最后讨论了供应链的敏捷性 .     

一种基于似然比的信息融合与决策方法

针对诊断或决策问题中的多信息特征 ,建立了具有信息融合功能的多级决策结构 ,通过信息融合 ,减小系统输出的不确定性和提高系统决策的可靠性。为解决决策问题中信息的不确定性 ,提出了一种基于似然比的决策策略 ,以结论元间的似然比为决策的中间变量 ,构造了具有局部决策和全局决策两级结构的多级决策器 ,并设计了局部决策规则和全局决策规则。最后通过实例证明了该方法的可行性。     

雷达干扰效果模糊综合评估方法研究

运用模糊综合判别的思想 ,研究了雷达干扰效果的评估问题 ,建立了衡量干扰效果各因素的模糊评价模型 ,提出了一种新的基于模糊综合的干扰效果评估准则和度量方法。结合实例 ,在分析影响雷达干扰效果因素的基础上 ,应用这种方法做了初步评估 ,并对该评估方法做了简要分析