移动Agent系统的联盟形成

移动 Agent系统是一种分布式计算模型 ,移动 Agent联盟形成过程中需要考虑通讯和合作问题 ,本文给出了一种移动 Agent系统的联盟形成模型 ,讨论了联盟分级结构和联盟形成机制 ,利用令牌传输技术 ,以保证联盟内部的合作、决策和组织完整.     

一种基于任务匹配的联盟生成策略

联盟生成是多Agent系统的一个关键问题,主要研究如何在多Agent系统中动态生成面向任务的最优Agent联盟.引入历史任务集和系统经验集的概念,使用任务相似度来判断任务间的关系.提出了一种基于任务匹配的联盟生成策略,增强了Agent的学习能力,对于任务序列可以有效的求解全局最优联盟.对比实验表明本策略可以有效减少联盟生成的搜索时间和计算量.     

基于Agent的分布仿真环境原型设计与实现

基于Agent的分布仿真是基于Agent的建模与仿真(ABMS)研究的重要内容。在提出的基于Agent的分布仿真软件框架和通信系统的基础上,利用Java语言和面向对象的方法实现了一个基于Agent的分布仿真环境原型系统ADSimE。对该分布式仿真环境的主要实现细节进行了阐述,给出了全系统的主要Agent类的UML设计图,重点阐述了保守策略仿真Agent类和乐观策略仿真Agent类的设计及处理流程。最后以闭合排队网络为例,说明了怎样在该环境下进行基于Agent的分布仿真应用的开发。     

基于量子多目标进化算法的多任务Agent联盟生成

多Agent联盟生成是多Agent系统的关键问题之一, 主要研究如何在多Agent系统中动态生成面向任务的最优联盟. 为使Agent能稳定的组织起来完成单Agent不能完成的任务并在成本、资源、利益等方面达到一个良好的平衡性能并达到全局最优, 提出了联盟多目标综合评价模型, 并将量子进化多目标算法应用于多目标多任务Agent联盟问题, 运用编码的映射, 将资源组合和任务分配合并为一个过程, 降低了问题的复杂性. 对比实验结果表明该算法求得的解的质量高, 平衡性好, 能有效避免了联盟死锁和资源浪费.     

多Agent诊断系统合作评价策略

多Agent系统提供了分布式和合作问题求解的环境，每个诊断Agent都可以面向各自的知识库进行诊断，提高了诊断系统的可靠性和实时性，但同时也带来了合作评价问题。在介绍多Agent诊断系统结构的基础上，介绍了基于语气理论的合作评价策略，并研究了有互斥故障情况下的合作评价问题，有利于提高多Agent诊断系统的可行性。     

基于维数划分策略和免疫的多任务联盟并行生成算法

设计了一种基于维数的Agent能力划分策略,提出"子Agent"概念;在此基础上设计了一种基于三维二进制编码的免疫算法求解多任务联盟并行生成问题,并对疫苗采取了自适应提取的策略.实验结果证明了该算法的有效性.     

一种求解单任务Agent联盟生成的贪婪算法

联盟是多Agent之间一种重要的合作方法,如何生成面向某个任务的最优联盟是一个复杂的组合优化问题.提出一种贪婪算法:逐步选择加入联盟的Agent,直到联盟的能力满足任务要求,此时完整的联盟被生成.在联盟生成过程中,任一Agent加入联盟的贪婪准则是它能否比其他Agent带来更大的能力和更小的成本.实验结果表明本算法是切实可行的.     

基于MAS的企业供应链模型中谈判过程的研究

企业间的基于Agent的自动化谈判是一个基于多Agent系统的供应链模型中的重要环节.首先对目前用于研究基于Agent谈判的主要理论技术做了介绍与分析.然后在此基础上,结合所需要解决的生产商与供应商之间谈判的问题的特点,以及使用的开发工具Zeus所提供的Agent间的谈判协议的特点,设计了一个包含时间策略、资源策略和模仿策略的多策略谈判模型.最后通过仿真模拟验证了该谈判模型各种策略的特点.     

基于MAS的分布式卫星系统任务规划研究

针对分布式卫星系统的规划与调度问题,提出了一种基于多Agent协商机制的分布式规划与调度方法.首先建立了分布式卫星系统的分层分布式多Agent控制结构,并详细设计了各个层次Agent的功能.其次,给出了卫星Agent之间基于合同网的交互协议,设计了基于优先级的招标任务选择策略以及基于任务动态插入的投标方法,并给出了实现全局优化的评标策略和目标函数.针对观测环境的动态情形,给出了相应的动态任务处理流程.最后通过一个卫星编队实例进行了验证.     

基于Agent的农业经济智能决策支持系统研究

将分布式人工智能中的Agent技术融于现代农业经济管理决策支持系统的研究与开发中,提出了基于Agent的农业经济智能决策支持系统(AEIDSS)的结构和组成,引入界面Agent、管理Agent、数据Agent、模型Agent、知识Agent以及各类决策职能Agent构成系统的主要部件,分析了基于分类器系统的Agent实现方法,探讨了在多Agent通讯与合作环境下实现农业经济系统的动态分析、评估、预测以及优化等决策支持功能的工作原理。图2,参13。     

Time-Variant Consensus Tracking Control for Networked Planar Multi-Agent Systems with Non-Holonomic Constraints

A time-variant consensus tracking control problem for networked planar multi-agent systems with non-holonomic constraints is investigated in this paper. In the time-variant consensus tracking problem, a leader agent is expected to track a desired reference input, simultaneously, follower agents are expected to maintain a time-variant formation. To solve the time-variant consensus tracking problem of planar multi-agent systems with non-holonomic constraints, a time-variant consensus tracking control strategy is designed on the basis of an unidirectional topology structure. One of main contributions of this paper is the time-variant consensus tracking protocol for general time-variant formations of planar multi-agent systems with non-holonomic constraints, the other main contribution of this paper is an active predictive control strategy, where predictions of agents are generated actively, so that the computational efficiency is improved than passive approaches. The proposed control strategy is verified by two types of time-varying formations of wheeled mobile robots, and the experimental results show that the proposed control strategy is effective for general time-variant consensus tracking problems of planar multi-agent systems with non-holonomic constraints in local and worldwide networked environments.     

Cooperative control of multi-agent moving along a set of given curves

This paper deals with a cooperative control problem of a team of double-integrator agents moving along a set of given curves with a nominated formation. A projection-tracking design method is proposed for designing the path-following control and the formation protocol, which guarantee formation motion of the multi-agent system under a directed communication graph. Necessary and sufficient conditions of the control gains for solving the coordinated problem are obtained when the directed communication graph has a globally reachable node. Simulation results of formation motion among three agents demonstrate the effectiveness of the proposed approach.     

一个典型C~3I系统的微分方程作战模型的建立

本文针对目前C~3I系统建模研究遇到的难题:如何把C~3I系统的组成内容与它所处的战争环境结合起来,运用复杂系统的一些建模方法、基于问题导向的原则,提出了一套战争环境下C~3I系统建模的规范化建模方法,使C~3I系统与军方常用于描述作战的Lanchester型格斗方程有机地结合起来,形成C~3I系统的作战方程。文中以一个典型的防空作战的C~3I想定进行了具体的计算,建立了该想定的微分方程模型。结果表明,这种方法解决了C~3I系统与Lanchester方程的结合问题,从而使C~3I系统本身的各个组成部分能在模型中与作战环境有机地结合起来。     

用数量化理论建立矿井涌水危险性评价模型

本文用数量化理论（Ⅱ）［１］讲座讨论了矿井涌水危险性评价问题，提出了一种实用的矿井涌水危险性评价模型．     

Output-feedback control for nonholonomic systems with linear growth condition

This paper deals with the stabilization of the nonholonomic systems with strongly nonlinear uncertainties. The objective is to design an output feedback law such that the closed-loop system is globally asymptotically regulated at the origin. The systematic strategy combines the input-state scaling technique with the backstepping technique. A novel switching control strategy based on the output measurement of the first subsystem is employed to make the subsystem far away from the origin. The simulation demonstrates the effectiveness of the proposed controller.     

基于虚拟零力矩点FZMP的拟人机器人行走稳定性仿真

给出了一个考虑外界干扰的拟人机器人整体模型的稳定性分析。通过引入虚拟零力矩点(FZMP)概念,提出了受到干扰的情况下维持拟人机器人的行走稳定性仿真方法。给出了支撑多边形的计算机表达方法和失稳时旋转边界自动确定方法。为了在不同的情况下保持平衡,提出了包括步幅、手的支撑和身体重心调整三种新的控制措施。仿真实例表明所提出方法的正确可行性。     

Two Innovative Coalition Formation Models for Dynamic Task Allocation in Disaster Rescues

This paper addresses the problem of multi-objective coalition formation for task allocation. In disaster rescue, due to the dynamics of environments, heterogeneity and complexity of tasks as well as limited available agents, it is hard for the single-objective and single (task)-to-single (agent) task allocation approaches to handle task allocation in such circumstances. To this end, two multi-objective coalition formation for task allocation models are proposed for disaster rescues in this paper. First, through coalition formation, the proposed models enable agents to cooperatively perform complex tasks that cannot be completed by single agent. In addition, through adjusting the weights of multiple task allocation objectives, the proposed models can employ the linear programming to generate more adaptive task allocation plans, which can satisfy different task allocation requirements in disaster rescue. Finally, through employing the multi-stage task allocation mechanism of the dynamic programming, the proposed models can handle the dynamics of tasks and agents in disaster environments. Experimental results indicate that the proposed models have good performance on coalition formation for task allocation in disaster environments, which can generate suitable task allocation plans according to various objectives of task allocation.     

A New Approach to Optimal Filtering for SingularDiscrete-Time Stochastic Linear System

1IntroductionBecausetherealisticproblemwhichsingularsystemdescribesiswiderthanthenormalsystemsdo,theresearchofsingularsystemshasreceivedagreatdealofattention.Andmanyachievementshavebeenobtainedinthefieldsofstructuralcharacteranalysisanddesignmethodsofsingularsystems.Butforthestateestimationonlypreliminaryprobehasbeenmade.References[2]--[51proposedrespectivesolutionsbasedonleastsquaremethod.References[6]--[71transformsingularsystemsintonormalsystemsthroughmatrixresolutionandthenmakeuseofKalman…     

Closed-Loop Iterative Learning Control for Discrete Singular Systems with Fixed Initial Shift

This paper deals with the problem of iterative learning control for a class of discrete singular systems with fixed initial shift. According to the characteristics of the discrete singular systems, a closed-loop learning algorithm is proposed and the corresponding state limiting trajectory is presented.It is shown that the algorithm can guarantee that the system state converges uniformly to the state limiting trajectory on the whole time interval. Then the initial rectifying strategy is introduced to the discrete singular systems for eliminating the effect of the fixed initial shift. Under the action of the initial rectifying strategy, the system state can converge to the desired state trajectory within the pre-specified finite time interval no matter what value the fixed initial shift takes. Finally, a numerical example is given to illustrate the effectiveness of the proposed approach.     

基于事件的交通拥堵模拟与消散策略研究

区域交通拥堵是通过排队链环逐级传播的,其结构类似于树结构分岔。如果不能实施及时有效的疏散控制策略,极有可能造成拥堵闭环。运用改进的中观交通仿真模型模拟基于事故的理想格子网络的交通拥堵形成和消散过程。依据交通拥堵传播的空间结构特征,利用禁止转弯(转弯禁限)与车辆途中更换路径的交通管制和诱导措施,首次提出了"树控制"策略缓解交通拥堵。仿真结果表明,合理应用提出的拥堵消散控制策略可以有效缓解交通拥堵的传播。