基于KD-DRT的雷达射频信号半实物仿真系统实现

首先介绍了分布实时仿真系统的四层体系结构,从而引出支撑系统KD-DRT;再提出采用这种分层的分布实时仿真技术构建精确制导武器的雷达射频信号半实物仿真系统;对系统模块的层次化分解以及分布系统的时间同步策略进行了分析,最后给出了系统的具体实现结构,验证了KD-DRT针对雷达信号级分布实时仿真的有效性。

Abstract：

4-tier hiberarchy was put forward as the standard architecture of distributed real-time simulation system, and KD-DRT was introduced as a supporting platform. A radar RF signal simulation system for precisely guided missile was constructed based on KD-DRT. The system modules were arranged to different layer according to its time restriction and the time synchronization method of the distributed system was studied. At last, the simulation system was constructed and the efficiency of KD-DRT in simulation of radar signal was proved.     

基于Extend与HLA的装备保障仿真集成研究

分析了Extend应用于装备保障仿真的不足,在讨论基于HLA的装备保障仿真系统的基础上,提出了Extend与HLA/RTI的四种仿真集成方式,依据Extend模型是否需要与HLA/RTI进行时间同步分别给出了集成方法,设计了基于适配器的Extend与HLA集成框架,详细说明了适配器的组成功能及工作流程,最后利用一个装备保障仿真系统应用实例证明了仿真集成的思路是可行的和必要的。

Abstract：

Because of the shortages of Extend software applied to equipment support simulation,four integration types between Extend and HLA were proposed about the building of equipment support simulation system based on HLA.According to whether Extend simulation model was synchronous to HLA/RTI on the mechanism of advance simulation time,the methods were respectively put forward to support these types,and an integration architecture between Extend and HLA was designed based on a general adaptor.The components and functions of this adaptor,and its running mechanism were detailedly analyzed later.Finally,an application of a simulation system proves that the idea to integrate the two platforms is feasible.     

舰载相控阵雷达仿真系统研究与实现

对于舰载相控阵雷达这类复杂系统的仿真,软件系统的设计起着至关重要的作用。为了更有效的进行舰载相控阵雷达的仿真研究,在模块化的基础上,引入了分层设计的思想,建立了分层模块化、易于扩展的仿真软件体系结构,给出了总仿真流程,并着重分析研究了其核心模块的功能、原理和实现流程,构建了仿真软件系统。仿真结果充分验证了模型和方法的可行性和有效性。

Abstract：

The design of software system is very important to the simulation of complex system such as shipborne phased array radar. To make the research of shipborne phased array radar simulation more efficiency, the idea of layered design was imported based on modularization, a hierarchy modularized and easy expansible simulation software architecture was established, and the whole simulation flow was suggested, the function and the theory and the realization flow of the core model was mainly researched, and the simulation software system was developed. The result of the simulation has validated the model and the method.     

基于MDA的两层HLA技术研究

HLA缺乏由仿真模型构建联邦成员的统一开发框架,所有联邦成员均是平等的,即体系结构是一种平面关系,联邦成员级的模型重用仍然是一种静态重用,无法实现模型动态加入不同FOM的联邦。提出了一种基于MDA的两层HLA框架FIA/FEI,首先将MDA引入HLA仿真建模,给出了MDA和HLA融合的途径。继而提出了突破了现有HLA的平面结构的资源管理联邦的思想,以支持对元模型的管理和基于元模型的仿真应用联邦的动态组合和FOM信息的动态配置,实现基于元模型的资源重用与共享,提高了HLA的模型资源动态重用与共享能力,应用实例验证了该框架的可行性。

Abstract：

HLA has not HLA uniformed modeling frame for constructing federates from general simulation models, and its all of federates are au pair, i.e. it is planar architecture essentially, so related models are difficult to enter the federations with different FOM dynamically. As a result, model reusing in federate level is static reusing. MDA based HLA with two levels frame （FIA/FEI） was proposed. At first, the schema of MDA integrated HLA was discussed, then the resource management federate was specified, which broke through the plane architecture of existing HLA and supports the management of meta-models, dynamic configuration of FOM information, and dynamic creation of simulation application federate based on meta-models. This two level frame realizes meta-model based resource reusing and sharing, improving the reusing ability and sharing ability of the model resources for HLA. The application practice verifies the feasibility of double level frame.     

Strategic Bidding Model for Power Generation Company Based on Repast Platform

： The bidding strategies of power generations in the market are a dynamic and complex problem. It is difficult to analyze and compute with the traditional mathematical methods, which is conspicuous in the middle or long-term transactions. This paper pro- poses a modelity which is the middle or long-term bidding strategy in two-tiers electricity market that is based on the optimal power flow （OPF）. Uncertainties in the outside world are regarded as the agent （Agent） of ＂external environment.＂ Under this conditions, Agent through environment evaluation judges to select viable strategic. Through learning from experiences and opponent＇s behaviors, Agent guides the purpose of the best production. The adaptability and superiority of this model is tested based on Repast with a standard IEEE-5 bus 6 notes test system.     

基于多节点多核的样本级并行仿真技术研究

针对蒙特卡罗仿真的特点,开展了基于多节点多核环境的样本级并行仿真技术研究,设计实现了基于客户端/服务器架构的系统原型,给出了并行仿真实验流程。案例简析表明,该技术能够很好的利用局域网环境下普通PC计算节点以及集群计算服务器各计算刀片上多核处理器的计算能力,大为减少多样本闭环仿真运行时间,提高装备论证效率。

Abstract：

For the characters of Monte Carlo simulation, the research on sample-level parallel simulation based upon multi-node multi-core environment was carried out. The C/S based system prototype was designed and implemented. The experimental process was also given. Case analysis shows that this technology can make use of the multi-core CPUs’ computing power of both normal PC nodes and blades of the cluster server and greatly reduce the simulation time, thus improve the efficiency of equipment demonstration.     

Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative airdefense system of systems （SoS） for surface warship formation （CASoSSWF） to the biological immune system （BIS） according to the similarity of the defense mechanism and characteristics between the CASoSSWF and the BIS, and then designs the models of components and the architecture for a monitoring agent, a regulating agent, a killer agent, a pre-warning agent and a communicating agent by making use of the theories and methods of the artificial immune system, the multi-agent system （MAS）, the vaccine and the danger theory （DT）. Moreover a new immune multi-agent model using vaccine based on DT （IMMUVBDT） for the cooperative air-defense SoS is advanced. The immune response and immune mechanism of the CASoSSWF are analyzed. The model has a capability of memory, evolution, commendable dynamic environment adaptability and self-learning, and embodies adequately the cooperative air-defense mechanism for the CASoSSWF. Therefore it shows a novel idea for the CASoSSWF which can provide conception models for a surface warship formation operation simulation system.     

虚拟地球场景的可视化建模与仿真

从地球自身模型出发,提出了按季风带划分大气云层实现其转动的新方法。为了提高拟真性,探讨了大气散射的成因,研究了大气散射算法并通过GPU编程实现,最后给出了基于多重纹理混合映射的星空背景模型。实验结果表明,这些方法可以大幅提高整个场景的拟真度,同时具备高实时性。可以被广泛地用于空间作战、探测等仿真任务。

Abstract：

Starting from the earth model,a new method was proposed that the rotation of atmospheric could be divided by monsoon belt.In order to improve the fidelity,the reason caused atmospheric scattering was investigated,and the scattering algorithm was studied and implemented by GPU programming.At the end,the star scene model based on multiple texture blending was given.The result of experiment shows that these methods have not only given a substantial increase in fidelity,but also guaranteed real-time rendering.It can be widely used in simulation of space battlefield and exploration.     

基于HLA的作战模拟系统一体化设计与实现

为了提高现有作战模拟系统的互操作性、可重用性与可扩展性,完善作战模拟系统的一体化建设,首先,分析了一体化系统建设的主要任务,归纳了其主要涉及的四类十一项关键技术。其次,重点阐述了如何利用HLA仿真技术框架来搭建海军诸兵种一体化作战模拟系统的体系结构,并详细描述了系统间信息交换协议的设计思路,定义了一个对象类、七个交互类及路径空间。最后,给出了系统仿真实现的流程图及其时钟推进机制,并用一个仿真实例验证了设计的可行性。

Abstract：

The research is to improve the interoperability,reusability and extensibility of the existing wargame simulation systems,and to construct an integrated wargame simulation system. Firstly,the main tasks of the research were defined and eleven key technologies in four categories were introduced. Secondly,it was described how to set up an architecture for the Navy arms wargame simulation system based on HLA （High Level Architecture） simulation framework. Also,the design ideas of the information exchange protocol of the system were elaborated,including definitions of object class,interaction class and routing space. At the end,a flow chart and advancing time mechanism were given. The feasibility of design has been verified with an instance.     

Researching and implementation of reconfigurable Hash chip based on FPGA

The reconfigurable cryptographic chip is an integrated circuit that is designed by means of the method of reconfigurable architecture, and is used for encryption and decryption. Many different cipher algorithms can be flexibly implemented with the aid of a reconfigurable cryptographic chip and can be used in many fields. This article takes an example for the SHA-1/224/256 algorithms, and then designs a reconfigurable cryptographic chip based on the thought and method of the reconfigurable architecture. Finally, this paper gives the implementation result based on the FPGA of the family of Stratix II of Altera Corporation, and presents a good research trend for resolving the storage in hardware implementation using FPGAs.     

基于强化学习的指挥控制Agent适应性仿真研究

应用人工智能中的学习技术来赋予战争模拟系统中的智能Agent适应能力，是基于CAS理论的战争复杂性研究的基础内容之一。面对战争系统中复杂动态的环境，传统的监督学习方法不能很好满足智能Agent实时学习的要求。而强化学习却可以很好的适应这种动态未知的环境。文章引入强化学习技术对战争系统中指挥控制Agent的适应性进行建模仿真研究。实验结果表明强化学习技术能很好的满足指挥控制Agent无师在线实时学习的要求，从而为战争模拟系统中的智能Agent的适应性机制提供良好的建模手段。     

重复囚徒困境博弈中社会合作的仿真

利用Multi-Agent仿真方法建立了一个人工社会,研究了两种个体行为模式下社会合作的演化。在人工社会中有多个智能自适应主体,主体之间进行重复囚徒困境博弈,并采用模仿学习算法改进策略。在基本模型中没有个体的历史行为信息,系统自发演化;在信誉模型中,主体的历史行为累积为信誉,在交互前主体根据对方的信誉临时调整策略。仿真结果显示:系统的演化复杂多样,均有合作的突现和崩溃。对两模型的合作指标比较表明,根据信誉调整策略的行为模式对促进合作无显著效果。     

基于Agent方法体系的VR仿真研究

分析了Ａｇｅｎｔ研究和ＶＲ研究的现状,指出利用Ａｇｅｎｔ技术研究ＶＲ的自然一致性、并且说明该技术可以克服ＶＲ研究中的难点。最后,给出了一个典型的Ａｇｅｎｔ结构用于在ＡＯＰ下对ＶＲ仿真系统进行描述。     

基于Multi-Agent系统的预测支持系统的结构

Agent技术是人工智能和计算机科学领域内新兴的研究热点,自治Agent和多Agent系统为复杂软件系统的分析、设计和实现提供了新的思路.给出一种基于Multi-Agent系统的预测支持系统的结构,将系统设计成由多个Agent组成的多Agent系统.各个Agent有自己的功能,可以独立自主地运行,还可以协同工作完成系统整体目标.     

Study on integration of geographical information system and real-time control system based on Agent architecture

The real-time control system correlatively dealing with spatial information will become an important part of the artificial control system in the future. Geographical information system, as an analyzing and processing spatial data platform and powerful tool, will play a more and more role in the real-time control field. Agent-based architecture, as a concept of artificial intelligence, has been introduced in this paper. A new intelligent soft Agent, spatial-info Agent was developed, compared with the central nerve system, integrated by GIS and the traditional real-time control system. The realization model structure of spatial-info Agent was given too. And the techniques and integration methods were discussed by integrating mapinfo and fiber integration measurement system.     

基于Agent的体系对抗仿真建模方法研究

面向信息化战争的武器装备体系对抗仿真，从复杂系统建模的角度对传统系统仿真建模方法提出了严峻挑战。因此，需要以CAS理论为依据，研究新的武器装备体系对抗仿真建模方法，以适应信息化战争模拟的需要。为此，我们在分析体系对抗仿真需求的基础上，从基于Agent的体系对抗仿真建模概念、仿真建模概念框架、仿真建模策略，基于Agent的体系整体“涌现”行为建模等问题入手，探讨了基于Agent的体系对抗仿真建模方法问题，并结合体系对抗仿真实验，研究了基于Agent的实体行为建模、实体交互建模和实体模型结构，提出了基于Agent的体系整体“涌现”行为建模思想和建模规范。     

基于多智能体仿真的新产品市场扩散研究

基于多智能体的仿真是一种基于微观个体行为的建模仿真方法,具有广泛适用性、分布性、智能性和交互性等特征.本文首先指出了多智能体仿真系统的优势,探讨了多智能体仿真的基本思路,然后构建了一个基于多智能体的新产品市场扩散仿真模型,最后应用多智能体仿真平台AgentSheets实现了该模型.     

面向武器装备系列研制的灵境仿真研究

首先阐明面向武器装备系列研制的灵境仿真研究的重要性及其学科归属.根据实施约束条件,将本项研究定位于应用基础研究.基于90年代的计算技术基础设施,将VR仿真开发系统的技术目标设定为自学习、自优化、目标驱动的自产生式建模与仿真环境.在1995年已实现的人工智能嵌入面向对象编程AI+OOP形式化体系中,通过知识封装赋予对象以知识禀赋和似人的精神属性.把AIOOM开发平台提升到面向智能体层次.文章给出Agent设计及实现的形式化描述,并通过二个实例说明该系统的可行性和优势.最后,展望系统发展方向并指出待努力解决和问题.     

基于Agent和CPN的Web信息传播系统建模研究

Web信息传播问题的复杂性是系统宏观结构和微观个体行为两方面因素共同作用的结果。在分析Web信息传播建模难点及解决思路的基础上,研究了将基于Agent的仿真方法和Petri网的描述机制相结合,利用Petri网擅长描述系统的整体逻辑结构和动态特性的优长,将Agent对系统个体特性和交互规则的仿真溶入到着色Petri网(CPN)描述的系统动态行为之中,使仿真分析和逻辑结构分析结合起来,对解决类似的复杂社会系统仿真提供一种新的思路。     

经济复杂系统的建模研究--人工经济模型

经济系统是一个由大量自由买卖主体构成的复杂适应系统,可以用基于Agent的计算经济学（Agent-based Computational Economics, ACE）方法进行研究.本文提出了一个自主开发的ACE系统：SIMECO模型.用CRA（Classifiers, Rules, Actions）三层结构对Agent建模可以得到比传统基于简单固定规则的ACE模型更丰富的涌现行为,包括社会分工的自发形成、价格围绕某一固定区间动态波动、流的自发出现并增长.进一步,计算机模拟实验中还形成了由集体大规模Agent自发的交易行为导致的交易网络之上的商品流,它会伴随着系统的进化而不断增强,并使得SIMECO中的大量Agent能更好地适应多变的环境.