Distributed Second-Order Continuous-Time Optimization via Adaptive Algorithm with Nonuniform Gradient Gains

Journal of Systems Science and Complexity - This paper addresses the distributed adaptive optimization problem over second-order multi-agent networks (MANs) with nonuniform gradient gains. A...     

基于时间窗的SVDBN近似推理算法研究

变结构动态贝叶斯网络(SVDBN)在处理非稳态过程的不确定问题具有其独特的优越性。为克服SVDBN推理算法不能实现在线推理的缺陷,在引入SVDBN的时间窗和时间窗宽度概念基础上,阐述了基于时间窗的SVDBN在线近似推理机制,提出了2种在线近似推理算法,即基于时间窗的变结构离散动态贝叶斯网络(SVDDBN)递推推理算法和基于时间窗的SVDDBN快速推理算法。通过仿真实验验证了这2种算法的有效性,并从复杂度、适用范围及更新时间等方面进行了比较。     

典型陆军部队装备维修作业能力评估系统仿真建模研究

针对陆军部队维修作业仿真评估需求,提出了一套仿真模型设计方案。分析了部队维修作业能力仿真评估原理,进而明确了评估模型需求;给出了维修任务生成、维修保障系统建模方案;结合备件调度和保障设备使用过程,设计了维修保障资源模型。为陆军部队装备维修作业能力评估提供建模基础,用于支撑部队维修作业能力仿真评估系统的设计和应用案例研究。     

基于SIRV病毒传播理论的装备保障网络级联失效分析

针对装备保障网络遭受敌方攻击时所显现出的复杂性现象,对比分析网络级联过程与病毒传播过程的相似性。在已有的负载容量级联故障传递模型基础上,融入了病毒免疫传播的过程,定义保障节点的4种不同状态,构建基于病毒免疫传播理论的装备保障网络级联传递模型,更好地再现了我方保障机构受到敌方实际打击和舆情攻击时的真实状况。通过仿真对比分析表明,在防御资源有限和时间迫切的情况时,优先考虑主动免疫策略,能够取得较好的抵御级联失效的效果,还可以辅助实施目标免疫策略,从而使装备保障网络具有较强的健壮性和较好的恢复能力。     

Application of the Constrained Predicated Nets and Interval Logic to Production Systems

1 .INTRODUCTIONDuetotheireconomicsignificanceandclosenesstopersons,productionsystemsmustbemodeledbeforetheirimplementationanduse,thus,amethodwhichspecifies ,analyzesandsynthesizestheproductionsys tems—discreteeventsystems (DES)hasbeenestab lishedanddevelopedstepbystepinrecentyears.DESmethodspecifiestheplantbasedonitsdiscretecharacters,however,intherealworld ,therearefewplantsthatcanbemodeledbypurelydiscretemathe maticalmodelbecausetherearealwayssomecontinu ousparametersforstudyinnearlya…     

雷达网系统扫描周期的研究

很多文章均指出雷达网系统具有航迹快速起始的性能,但是尚没有资料从理论上对此加以证明。通过对雷达网系统平均扫描周期的研究,从理论上证明了雷达网系统具有航迹快速起始的性能,这对于研究雷达网系统的反电子对抗性能和评估准则具有特别重要的意义。     

Target location with signal fitting and sub-aperture tracking for airborne multi-channel radar

The location of a moving target based on signal fitting and sub-aperture tracking from an airborne multi-channel radar is dealt with. The proposed approach is applied in two steps: first, the ambiguous slant-range velocity is derived with a modified single-snapshot multiple direction of arrival estimation method, and second, the unambiguous slant-range velocity is found using a track-based criterion. The prominent advantage of the proposed approach is that the unambiguous slant-range velocity can be very large. Besides, the first stage is carried out at the determinate range-Doppler test cell by azimuth searching for fitting best to the moving target signal, therefore, the location performance would not be sacrificed in order to suppress clutter and/or interference. The effectiveness and efficiency of the proposed method are validated with a set of airborne experimental data.     

Nonlinear Langevin model with product stochasticity for biological networks: The case of the Schnakenberg model

Langevin equation is widely used to study the stochastic effects in molecular networks, as it often approximates well the underlying chemical master equation. However, frequently it is not clear when such an approximation is applicable and when it breaks down. This paper studies the simple Schnakenberg model consisting of three reversible reactions and two molecular species whose concentrations vary. To reduce the residual errors from the conventional formulation of the Langevin equation, the authors propose to explicitly model the effective coupling between macroscopic concentrations of different molecular species. The results show that this formulation is effective in correcting residual errors from the original uncoupled Langevin equation and can approximate the underlying chemical master equation very accurately.     

Parametric adaptive time-frequency representation based on time-sheared Gabor atoms

A localized parametric time-sheared Gabor atom is derived by convolving a linear frequency modulated factor, modulating in frequency and translating in time to a dilated Gaussian function, which is the generalization of Gabor atom and is more delicate for matching most of the signals encountered in practice, especially for those having frequency dispersion characteristics. The time-frequency distribution of this atom concentrates in its time center and frequency center along energy curve, with the curve being oblique to a certain extent along the time axis. A novel parametric adaptive time-frequency distribution based on a set of the derived atoms is then proposed using a adaptive signal subspace decomposition method in frequency domain, which is non-negative time-frequency energy distribution and free of cross-term interference for multicomponent signals. The results of numerical simulation manifest the effectiveness of the approach in time-frequency representation and signal de-noising processing.     

Best tracking performance for integrator and dead time plant

The optimal tracking performance for integrator and dead time plant in the case where plant uncertainty and control energy constraints axe to be considered jointly is inrestigated.Firstly,an average cost function of the tracking error and the plant input energy over a class of stochastic model errors are defined.Then,we obtain an internal model controller design method that minimizes the average performance and further studies optimal tracking performance for integrator and dead time plant in the simultaneous presence of plant uncertainty and control energy constraint.The results can be used to evaluate optimal tracking performance and control energy in practical designs.