具有资源配置的供应链竞争动态模型

在供应链竞争的经济背景下,考虑由多条结构复杂并且异质的供应链构成的竞争模型。供应链在市场需求的推动下以自身利润最大化为决策标准,整合生产工序、分配企业内部资源。在资源有限以及产品无差异的条件下,通过市场链的定义分析了供应链之间的竞争方式;利用动态投影系统理论建立了供应链竞争的动态模型,刻画了供应链之间相互博弈的动态行为过程;进一步,在单调性条件下分析了模型均衡解的稳定性条件。最后,通过数值算例验证了模型的合理性。     

基于智能代理的供应链仿真

提出了一个基于智能代理的供应链仿真方法,进而在实践上把多代理技术和仿真技术相结合,并利用智能代理开发工具ZEUS在供应链框架内开发了一个多代理仿真模型进行供应链仿真,利用该多代理模型,我们通过量化供应链中的信息流和物流,评估分析了所提出的供应链管理策略。     

多智能体并行仿真框架

多智能体仿真具有广泛的应用前景。但是,现有的多智能体仿真和并行仿真无法解决数量庞大且具有复杂动力学特性的智能体仿真,因此研究这类多智能体的有效仿真具有重要的意义。为了能够有效仿真这类系统,设计了一个两层的多智能体并行仿真框架,指出了该框架中面临的挑战。除此之外,针对仿真中提高仿真效率的挑战,作者提出了一种加快仿真速度的方法。实验结果表明该方法可以明显提高仿真效率。     

用层次颜色Petri网模拟主体行为

智能主体动态动作的形式化描述是开发应用多主体系统的的形式化描述多是基于逻辑学的描述,不易直接应用到系统开发中.该文通过利用层次颜色Petri网对市场多主体系统的模拟,提出并讨论了利用层次颜色Petri网为多主体系统建模、模拟主体行为的方法,该方法对多主体系统中主体间的各种动态关系有较好的刻画,并且通过层次化的方法减少了利用一般Petri网系统(如P/T系统)模拟复杂系统时所遇到的难度.     

供应链的系统运作模式分析与建模——基于复杂自适应系统范式的研究

整体运作环境的变化使得传统的方法已经无法合理解决当今供应链管理中出现的复杂问题。应用复杂性科学的理论,本文以复杂自适应系统（Complexity Adaptive System, CAS）范式作为分析方法,系统性诠释了供应链的整体运作模式。文中首先以“适应性造就复杂性”的思想为指导,认为供应链是一个（CAS）,并建立了相应的概念模型,然后基于此模型,探讨了供应链管理的策略性原则。文章最后在桑塔费研究所开发的智能仿真平台-SWARM的基础上,建立了一个基于Multi-Agent的供应链仿真模型。研究表明该范式能够更好的分析与描述供应链这一复杂系统发生、创新、学习和适应等行为的本质。     

Consensus for Heterogeneous Multi-Agent Systems with Directed Network Topologies

In this paper, the consensus problem for heterogeneous multi-agent systems composed of first-order and second-order agents is investigated with directed network topologies. Based on a system transformation method, this consensus problem is turned into a consensus problem for homogeneous multi-agent systems. With certain assumption on the control parameters, firstly, necessary and sufficient condition for consensus is proposed with fixed topology. Secondly, sufficient condition is proposed for heterogeneous multi-agent systems to achieve consensus with switching topologies. Finally, simulation examples are presented to verify the effectiveness of the theoretical results.     

复杂网络特性与多智能体的一致性

对复杂网络特性与多智能体系统的一致性的关系进行研究,以BBV和BA网络模型为例,分别研究了度正相关性和度负相关性的网络模型中多智能体系统一致性的收敛速度.应用计算机仿真实例,分析了无尺度网络模型的平均距离和平均集群系数与多智能体系统一致性的影响,得到了复杂网络结构与多智能体系统一致收敛速度的关系.该研究对于构建一个多智...     

仿真建模与形式化

离散事件仿真在复杂系统的分析和设计中正得到越来越广泛的应用, 在仿真研究中仿真建模是一项十分复杂而且难以掌握的工作。对仿真建模形式化的研究可以增强对离散事件系统的认识, 改进仿真建模过程、从而构造出更有效的仿真模型。本文讨论了形式化在仿真建模中的作用, 回顾了在仿真建模形式化方面所进行的研究工作, 重点讨论了基于系统理论的形式化系统描述和离散事件仿真的数学形式理论。     

Cooperative dynamics of loyal customers in queueing networks

We consider queueing networks （QN＇s） with feedback loops roamed by ＂intelligent＂ agents, able to select their routing on the basis of their measured waiting times at the QN nodes. This is an idealized model to discuss the dynamics of customers who stay loyal to a service supplier, provided their service time remains below a critical threshold. For these QN＇s, we show that the traffic flows may exhibit collective patterns typically encountered in multi-agent systems. In simple network topologies, the emergent cooperative behaviors manifest themselves via stable macroscopic temporal oscillations, synchronization of the queue contents and stabilization by noise phenomena. For a wide range of control parameters, the underlying presence of the law of large numbers enables us to use deterministic evolution laws to analytically characterize the cooperative evolution of our multi-agent systems. In particular, we study the case where the servers are sporadically subject, to failures altering their ordinary behavior.     

基于多Agent的地面作战建模仿真研究

计算机作战仿真是军事人员的“作战实验室”。然而,作战系统是一个复杂的非线性动态系统,对其进行建模困难,Agent和多Agent技术为计算机作战仿真提供了新的建模仿真方法。本文首先分析了作战系统的特点和传统的数学建模的不足,其次介绍了有关Agent、多agent系统和多Agent系统仿真的概念,并分析了基于多Agent的建模与传统的数学建模的区别,最后,分析了一个基于Agent建模与仿真技术的陆军地面作战仿真系统。     

Formation Tracking for Nonlinear Multi-agent Systems with Input and Output Quantization via Adaptive Output Feedback Control

Signal quantization can reduce communication burden in multi-agent systems, whereas it brings control challenge to multi-agent formation tracking. This paper studies the output feedback control problem for formation tracking of multi-agent systems with both quantized input and output.The agents are described by a nonlinear dynamic model with unknown parameters and immeasurable states. To estimate immeasurable states and solve the uncertainties, state observers are developed by using dynamic high-gain tools. Through proper parameter designs, an output feedback quantized controller is established based on quantized output signals, and the quantization effect on the control system is eliminated. Stability analysis proves that, with the proposed control scheme, multi-agent systems can track the reference trajectory while forming and maintaining the desired formation shape.In addition, all the signals in the closed-loop systems are bounded. Finally, the numerical simulation and practical experiment are provided to verify the theoretical analysis.     

一个面向对象的仿真建模框架

基于面向对象的思想、系统理论概念和ＤＥＶＳ形式理论,研究提出了一种面向对象的仿真建模框架,它由建模框架和控制框架组成．建模框架提供了描述组成系统的对象、描述局部于对象的行为和对象之间交互作用的结构和方法;控制框架提供了分离不同的仿真控制功能的更为灵活的控制结构．本文的研究为面向对象的仿真提供了一个概念框架．并为研究开发新的仿真建模系统提供了理论基础．     

单边Lipschitz非线性多智能体系统一致性追踪控制

针对单边Lipschitz非线性多智能体系统,提出了一种分布式一致性控制方法.首先,构建了领导-跟随者动力学结构,用于实现单边Lipschitz多智能体系统的追踪控制.然后,设计了单边Lipschitz非线性多智能体系统的一致性控制协议,可根据智能体之间局部交互信息构建分布式反馈控制,并将系统的一致性追踪问题转化为系统...     

基于Swarm的供应链多主体聚集模型及其仿真

供应链是一类典型的复杂适应系统,本文采用一种高级Petri网方法建立基于多主体的供应链模型,着重论述通过子主体代换建立多主体聚集模型的方法与步骤,并给出多主体聚集模型实例。最后,建立了供应链配送渠道系统简化模型,设计了相应的仿真参数,通过Swarm仿真平台模拟了供应链配送渠道系统的动态组合行为,并对仿真结果进行了分析。     

基于多Agent的企业过程建模和仿真技术研究

工作流技术和集控Petri网方法是企业过程建模和仿真的支撑技术,将二者巧妙地结合起来,能为实现过程集成提供有效的帮助。当前的大多数工作流管理系统忽视了工作流之间的资源约束关系,基于多Agent的工作流管理系统能够有效地解决这个问题。首先讨论了基于多Agent的工作流管理系统,给出了基于多Agent工作流的企业过程的建模、仿真、使能系统的模型。然后介绍了将基于多Agent的工作流模型转化为集控Petri网来实现企业过程仿真的方法以及仿真过程中时间和成本等性能参数的计算和分析方法。     

基于EWA学习的共享资源捐赠习俗演化仿真研究

针对个体策略学习可能对共享资源捐赠习俗演化路径产生影响,提出用EWA学习模型刻画个体在现实场景下的策略调整过程,建立多个体EWA学习的演化博弈模型,并基于EWA学习给出算法流程,进行计算机仿真实验。仿真结果表明,在EWA学习支配下,随着迭代期次的增加,供给策略对个体的吸引度越来越大,个体的平均支付及联合支付也相对较高,能够克服共享资源供给上的囚徒困境,使共享资源捐赠习俗发育成为可能。     

模型驱动的复杂人机系统过程建模仿真方法

复杂人机系统涉及复杂的技术系统过程、认知决策过程以及人机协同过程,是当前系统工程研究最具挑战的领域之一。建模仿真在很多情况下是分析复杂人机系统过程性能效能的唯一可行选择。分析了复杂人机系统过程建模以及系统仿真模型表示的主要方法。结合平台级作战过程建模应用问题,给出了一种物理域、认知域、模型框架三分的复杂人机系统过程建模框架。在模型驱动方法的指导下,综合运用多方法建模、领域特定建模等方法讨论了复杂人机系统过程仿真模型设计问题。对其他领域的复杂人机系统过程建模仿真问题研究具有示范意义。     

Sliding Mode Formation Control of Nonlinear Multi-agent Systems with Local Lipschitz Continuous Dynamics

In this paper, the multi-agent formation problem of networked nonlinear multi-agent systems with local Lipschitz continuous dynamics under directed interaction topology, is investigated.Based on the nonlinear dynamics satisfying locally Lipschitz continuous conditions, three kinds of sliding mode controllers are proposed to solve the problem of multi-agent formation control. Using integral sliding mode controller in first-order system, formation shape is achieved within finite time.For second-order system, on the one hand, non-singular terminal sliding mode function is adopted to accomplish the system asymptotic convergence. Furthermore, super-twisting algorithm is proposed to make multi-agent achieve the desired formation within finite time. Lyapunov functions are applied in the whole paper to ensure the system stability. Numerical simulation examples are provided to demonstrate the effectiveness of the proposed sliding mode control methods.     

Governance of global supply chains vulnerability by business-based interorganizational information platform

<正>The paper introduces the business-based interorganizational information platform(IOP) and analyzes the feasibility and mechanism of business-based IOP governing global supply chains vulnerability,and then aims to develop a risk evaluation software under reliable algorithm to appraise the capability of an interorganizational information platform resisting to global supply chains risks that supports platform users and providers to make decisions.The paper respectively starts with a basic conceptual model of global supply chains vulnerability and a conceptual model of global supply chains vulnerability in business-based IOP,and then gives the simulation model of governance of global supply chain vulnerability in business-based IOP;then has a discussion with the beneficial model of governing global supply chains vulnerability by using business-based IOP or not.The results of research:(1) If given the ratio of expense per income on global supply chains using business-based IOP, we can estimate the costs to take precautions against risks that decides to the maximum value of the average income of per transaction on global supply chains using business-based IOP.(2) If given total income of transaction on global supply chains using business-based IOP,we can estimate the maximum value of the ratio of expense per income on global supply chains using business-based IOP, which would help to make pricing policy for IOP service provider.     

不同信息透明度的非线性再制造供应链动态行为

在APIOBPCS(Automatic Pipeline,Inventory and Order Based Production Control System)订货系统基础上,建立具有非线性约束再制造过程的闭环供应链系统,根据对再制造信息不同程度的掌握将系统分为类、类、类三种类型,信息透明度依次增强。应用控制论和系统仿真方法,在输入需求信息分别是阶跃信号和随机信号的情况下研究再制造提前期、回收比例和最大回收能力的变化对系统动态行为的影响;并对具有不同信息透明度的闭环供应链模型的动态行为进行对比分析。研究结果表明,三类系统的动态行为在非线性条件和线性条件下有显著的区别,非线性约束导致系统产生更大的波动和更高的牛鞭效应值。而且系统的动态性能并不一定随着信息透明度的增强而增强,信息透明度最强的类系统并不严格优于其他两类系统。在不同的参数取值下,三类系统各有优劣。