ADS-B系统运行可靠性评价方法

为实现ADS-B系统运行可靠性的综合评价,提出了一种基于T-S模糊神经网络的方法。以平均首次故障时间、平均故障间隔时间、平均维修时间、平均可用度和维修时间率5项可靠性评价指标作为输入向量。利用T-S模糊系统构建可靠性综合评价的非线性映射关系,经神经网络的自适应训练,调整模糊规则和隶属度函数,建立ADS-B系统运行可靠性的综合评价模型。实验仿真与应用情况表明,该方法可行、有效,并具有较高的计算稳定性、精确性和良好的泛化能力,且评价结果客观、准确可靠,可作为提高ADS-B系统运行可靠性的决策依据。     

神经网络自动生成模糊系统

在模糊系统的生成过程中，最主要的任务是隶属函数和模糊规则的提取和调整，但用传统方法，其工作量往往随变量数的增长而爆炸性地增加。为了解决这一问题，本文提出了一种新颖的，利用神经网络来自动地撮模糊系统 隶属函数和规则。     

某型地空导弹武器系统的潜在效能评估

针对某型地空导弹武器系统的效能问题,运用层次分析法和模糊综合评估方法,建立了武器系统潜在效能评估模型,并提出了计算效能评估结果可信度高低的简捷的综合分析评价方法与数学模型。最后通过数学模型对某型地空导弹武器系统的潜在效能进行评估,得到了合理的数值,检验了模型的可靠性。说明了上述模型可用于定量描述系统的潜在效能,又可以用于类似系统之间的效能比较,为地空导弹武器系统的研制、试验和使用等提供决策依据。     

模糊二维线性鉴别分析算法

在二维线性鉴别分析的基础上,引入了模糊数学的思想,给出了模糊二维线性鉴别分析方法。模糊二维线性鉴别分析通过隶属度函数将样本归入所有的类别之中,根据隶属度重新定义了类间散布矩阵和类内散布矩阵,进而将样本的原始分布信息通过相应的隶属度函数完全融入到最后提取的特征中。通过在ORL和耶鲁人脸库上进行的实验,结果证明了基于模糊二维线性鉴别分析方法的优越性。     

A recurrent fuzzy cellular neural network system with automatic structure and template learning

It is widely accepted that using a set of cellular neural networks (CNNs) in parallel can achieve higher level information processing and reasoning functions either from application or biologics points of views. Such an integrated CNN system can solve more complex intelligent problems. In this paper, we propose a novel framework for automatically constructing a multiple-CNN integrated neural system in the form of a recurrent fuzzy neural network. This system, called recurrent fuzzy CNN (RFCNN), can automatically learn its proper network structure and parameters simultaneously. The structure learning includes the fuzzy division of the problem domain and the creation of fuzzy rules and CNNs. The parameter learning includes the tuning of fuzzy membership functions and CNN templates. In the RFCNN, each learned fuzzy rule corresponds to a CNN. Hence, each CNN takes care of a fuzzily separated problem region, and the functions of all CNNs are integrated through the fuzzy inference mechanism. A new online adaptive independent component analysis mixture-model technique is proposed for the structure learning of RFCNN, and the ordered-derivative calculus is applied to derive the recurrent learning rules of CNN templates in the parameter-learning phase. The proposed RFCNN provides a solution to the current dilemma on the decision of templates and/or fuzzy rules in the existing integrated (fuzzy) CNN systems. The capability of the proposed RFCNN is demonstrated on the real-world defect inspection problems. Experimental results show that the proposed scheme is effective and promising.     

小样本条件下行波管可靠性评估方法的研究

 行波管的可靠性对许多军用装备整机系统的正常运行十分重要。但其结构复杂、价格昂贵,如何在小样本条件下提高其可靠性评估的精度是我们目前面临的问题。在此情况下,利用专家经验、历史数据等先验信息来提高其可靠性评估的精度是一个行之有效的途径。本文基于模糊隶属函数给出了一种创建行波管可靠性模糊先验分布的方法,并在此基础上利用Bayes方法实现了行波管先验与试验信息的有效融合。对某卫星用行波管进行可靠性评估的实例表明,采用正态型模糊先验分布的行波管可靠性Bayes评估可以在小样本数和试验结尾程度很高的情况下显著提高可靠性评估的精度,同时Bayes估计可随试验样本信息的增加不断得到修正;而模糊先验分布的带宽可用于调节先验信息在后验分布中所占的比重。     

基于改进模糊层次分析法的复杂装备可靠性分配研究

根据风力发电机传动链系统的可靠性分配指标具有多层次、多因素且定量与定性指标并存的特点,提出一种改进的模糊层次分析法,从影响可靠性分配的众多不确定因素出发建立可靠性分配的层次分析结构,定量分析计算出组成传动链系统的齿轮箱等各组件的权重。根据权重完成对传动链系统可靠性的合理分配。所得结果与传动链实际运行情况基本吻合,证明该方法具有较好的实用性,较传统层次分析法更科学、合理且更简单易行,能够为传动链的设计提供一定的依据。     

A reliability analysis technique for object-oriented model using a reliability petri net

We propose a reliability analysis technique for the design specifications which are made by CRC methodology. We use a reliability Petri net as an analysis technique for CRC specification. The procedure of analyzing the system reliability is as follows: first, the collaboration graphs and message flow diagrams of CRC specification are transformed into an equivalent reliability Petri net which consists of places, transitions, input functions, output functions, failure rate of the input and output functions, and tokens. Secondly, we construct a reachability tree from a reliability Petri net, and establish the paths of all transitions for the reachability tree. These paths can be test cases. Finally, we calculate the values of reliability effect for all transitions in a reliability Petri net, select the transitions that have most effect on the system reliability, and search the messages and classes that are places of input and output fucntion in these transitions. Therefore, we can design these messages and classes very well for increasing the system reliability.     

Fuzzy consecutive-k-out-of-n:F system reliability

In this paper, we propose a new method to analyze fuzzy consecutive-k-out-of-n:F system reliability using fuzzy GERT. The triangular fuzzy numbers are used to fuzzify probabilities of the consecutive-k-out-of-n:F system and the interval arithmetic, α-cuts and an index of optimism λ are applied to compute fuzzy consecutive-k-out-of-n:F system reliability on fuzzy the GERT network. Futhermore, we can obtain all computation results by “MATHEMATICA” package.     

海杂波中弱信号的再生核模糊系统检测

针对海杂波中弱信号的检测问题,提出了一种新颖的再生核模糊系统。该系统巧妙地和再生核函数的性质结合起来,使其结构及参数辨识具有严格的数学理论基础并且变得简单。该系统隶属度函数具有语义特征,参数学习只限于前件,并且避免了非线性数值算法和陷入局部极小值,具有全局收敛性。利用该系统对Lorenz系统及真实海杂波进行仿真实验,结果表明该系统能有效检测出混沌背景下的弱信号,比传统的支持向量机及神经网络方法具有更高的精度。     

Current-Mode Fuzzy Linguistic Hedge Circuits

In this paper, a current-mode design methodology to implement a set of fuzzy linguistic hedge circuits is proposed. The so-called fuzzy linguistic hedge is a fuzzy operation applied to adjust the membership function of a fuzzy set. The fuzzy membership function of control variable and the control rules are very important in a fuzzy logic controller because they dominate the control strategies. If the control results fail to meet the system requirements, the control objective can still be achieved by adjusting the membership function of the fuzzy set or the control rules. Moreover, the adjustment effect of the control strategies through the modifications of the fuzzy membership function is the same as that of the system control rules. In this paper, we propose a set of fuzzy linguistic hedge circuits, including absolutely, very, much more, more, plus minus, more or less, slightly, and contrast intensification, which has been fabricated in 0.8 m CMOS process. Experimental results show that the average error of the circuits is within 1% of the full scale current. Under the power supply voltage of 3.3 V, the operating dynamic range is 50 A. Furthermore, these circuits still work well even when the power supply voltage is down to 2.5 V. In addition, in real world application, we can incorporate a membership function generator, a fuzzification unit, a multi-input maximum/minimum circuit, and a defuzzification unit with the linguistic hedge used to modify the membership function in order to develop a real-time adaptive fuzzy logic controller.     

Circuit implementation of high-resolution rational-powered membership functions in standard CMOS technology

This paper proposes the method to implement a general form of membership functions for fuzzy systems in CMOS technology. These membership functions are a general form of triangular types and those functions which are used in linguistic hedge fuzzy logic, hence can offer better performance in almost all applications. The comparison between the proposed method and previously reported works shows better performance in all parameters. Designed circuits to implement these types of membership functions are simulated using HSPICE by level 49 parameters (BSIM3v3) in 0.35 μm standard CMOS technology. Current mode realization of the circuits leads to simple and intuitive configurations. The Rational Power Generator Module (RPGM) generates powers with the resolution of 0.03125 and using seven programming bits. The simulation results of RPGM demonstrate a RMS error of 1.42% and a maximum power consumption of 1.05 mW.     

便携式地空导弹武器系统作战效能的模糊综合评价

为科学评估便携式地空导弹的作战效能,本文对便携式地空导弹武器系统进行了全面分析,建立了便携式地空导弹武器系统作战效能综合评价的指标体系。并利用模糊数学方法,确立了该系统的综合评价模型,从而为便携式地空导弹武器系统作战效能的综合评价提供了一种方法。     

基于参数单点模糊化方法的模糊系统及其逼近能力

本文研究了单输入-单输出模糊系统的构造和所构造的模糊系统的逼近能力.首先,在模糊系统的构造中,引入了对输入变量进行参数单点模糊化的方法.应用这种方法,当推理前件和后件都取为具有二相性的三角波时,对六类(41个)模糊蕴涵算子构造的模糊系统进行了研究.其次,对所构造的模糊系统的逼近能力做了研究,给出了它们的余项表达式和余项...     

An Optimum Vertical Handoff Decision Algorithm Based on Adaptive Fuzzy Logic and Genetic Algorithm

Handoff decision making is one of the most important topics in wireless heterogeneous networks architecture as there are many parameters which have to be considered when triggering handoff and selecting suitable access point. More intelligent approaches which reckon user profiles, application requirements, and network conditions must be improved so that desired performance results for both user and network could be provided. In this paper we introduce a new adaptive vertical handoff decision making algorithm in which fuzzy membership functions are optimized by means of genetic algorithm. Genetic algorithm is an adaptive search technique based on natural selection and genetic rules. In addition to that, it takes places in various scientific applications and can be used to adjust the membership functions in fuzzy systems. The purpose of the study is to adjust the shape of fuzzy membership functions, properly, using genetic algorithm in order to achieve optimum handoff performance. The results show that, compared to the several different algorithms performance of the proposed approach with genetic algorithm is significantly improved for both user and network in terms of number of handoff while the other requirements are still satisfied.     

Synchronization of Chaotic Systems Using Time-Delayed Fuzzy State-Feedback Controller

This paper presents the fuzzy-model-based control approach to synchronize two chaotic systems subject to parameter uncertainties. A fuzzy state-feedback controller using the system state of response chaotic system and the time-delayed system state of drive chaotic system is employed to realize the synchronization. The time delay which complicates the system dynamics makes the analysis difficult. To investigate the system stability and facilitate the design of fuzzy controller, Takagi-Sugeno (T-S) fuzzy models are employed to represent the system dynamics of the chaotic systems. Furthermore, the membership grades of the T-S fuzzy models become uncertain due to the existence of parameter uncertainties which further complicates the system analysis. To ease the stability analysis and produce less conservative analysis result, the membership functions of both T-S fuzzy models and fuzzy controller are considered. Stability conditions are derived using Lyapunov-based approach to aid the design of fuzzy state-feedback controller to synchronize the chaotic systems. Simulation examples are presented to illustrate the merits of the proposed approach.     

Threat Assessment Method Based on Intuitionistic Fuzzy Similarity Measurement Reasoning with Orientation

The aim of this paper is to propose a threat assessment method based on intuitionistic fuzzy measurement reasoning with orientaion to deal with the shortcomings of the method proposed in [Ying-Jie Lei et al., Journal of Electronics and Information Technology 29（9）（2007）2077-2081] and [Dong-Feng Chen et al., Procedia Engineering 29（5）（2012）3302-3306] the ignorance of the influence of the intuitionistic index＇s orientation on the membership functions in the reasoning, which caused partial information loss in reasoning process. Therefore, we present a 3D expression of intuitionistic fuzzy similarity measurement, make an analysis of the constraints for intuitionistic fuzzy similarity measurement, and redefine the intuitionistic fuzzy similarity measurement. Moreover, in view of the threat assessment problem, we give the system variables of attribute function and assessment index, set up the reasoning system based on intuitionistic fuzzy similarity measurement with orientation, and design the reasoning rules, reasoning algorithms and fuzzy-resolving algorithms. Finally, through the threat assessment, some typical examples are cited to verify the validity and superiority of the method.     

基于模糊贴近度的武器装备效能评估

在研武器装备效能的合理评估,可以为装备发展决策提供重要建议。针对在研装备性能指标存在模糊性的特点,基于模糊贴近度理论,确定了一种评估装备效能的方法。选取具有代表性的装备效能因素,通过横向比较在研装备与现役类似装备之间的性能指标,建立特征值矩阵,选取适当的贴近度函数计算指标间的贴近度,设计评估模型及方法。经过一组实例分析验证了该方法的可行性和有效性,最后对下一步要做的工作进行了介绍。     

基于模糊综合评判的装备软件可靠性研究

装备软件的可靠性关系着未来高技术战争中武器装备系统效能的发挥,因此研究装备软件的可靠性具有重要意义。从软件质量框架模型出发,结合装备软件的特点,分析了影响装备软件可靠性的因素,提出了运用模糊综合评判法对可靠性进行评估的方法。最后,给出了一个实例。