Numerical Simulation of the Fractional-Order Lorenz Chaotic Systems with Caputo Fractional Derivative

Although some numerical methods of the fractional-order chaotic systems have been announced,high-precision numerical methods have always been the direction that researchers strive to pursue.Based on this problem,this paper introduces a high-precision numerical approach.Some complex dynamic behavior of fractional-order Lorenz chaotic systems are shown by using the present method.We observe some novel dynamic behavior in numerical experiments which are unlike any that have been previously discovered in numerical experiments or theoretical studies.We investigate the influence of α_(1),α_(2),α_(3) on the numerical solution of fractional-order Lorenz chaotic systems.The simulation results of integer order are in good agreement with those of othermethods.The simulation results of numerical experiments demonstrate the effectiveness of the present method.

Establishment of New Solution for Complex Systems in Multidisciplinary Sci-ence Based on Feedback System Analysis Method and Proven by Simulator

This paper establishes a very important scientific solution to science of complexity for physicists, and presents a multidisciplinary involved physics and engineering. The innovative solution for complex systems presented here is verified on the basis of principles in engineering such as feed-back-system analysis using the classical control theory. This paper proposes that a complex system is a closed-loop system with a negative feedback element and is a solvable problem. A complex system can be analyzed using the system analysis theory in control engineering, and its behavior can be realized using a specially designed simulator.

Modeling and Analysis of Complex Equipment Maintenance Dynamics

An equipment maintenance system is naturally a complex dynamical system. The effective mamanagement must be based on the knowledge of the system＇s intrinsic dynamics. And the strueture of the maintenance system determines its behavior. This paper analyzes the basic structures and elements of a maintenance system for complex multi-components equipment. The maintenance system is considered as a dynamic system whose behavior is influenced by its structure＇s feedback and interaction, and the system＇s available resources. Building the dynamical model with Simulink, we show some results about the maintenance system＇s nonlinear dynamics, ods. The model can be used for understanding and which operational adjustments of maintenance which are never given by stochastic process methdetermining maintenance system behavior, towards n of maintenance requirements and timely supply of maintenance resources can be made in a more informed way.

The Complex System Modeling Method Based on Uniform Design and Neural Network

In this paper, the method based on uniform design and neural network is proposed to model the complex system. In order to express the system characteristics all round, uniform design method is used to choose the modeling samples and obtain the overall information of the system;for the purpose of modeling the system or its characteristics, the artificial neural network is used to construct the model. Experiment indicates that this method can model the complex system effectively.

Dynamic Coordination of Uncalibrated Hand/Eye Robotic System Based on Neural Network

A nonlinear visual mapping model is presented to replace the image Jacobian relation for uncalibrated hand/eye coordination. A new visual tracking controller based on artificial neural network is designed. Simulation results show that this method can drive the static tracking error to zero quickly and keep good robustness and adaptability at the same time. In addition, the algorithm is very easy to be implemented with low computational complexity.

Development and Investigation of the Program Model of Multichannel Queueing System with Unreliable Recoverable Servers in Matlab Environment

In real life, in different industries, we often deal with systems designed for multiple use for performing single-type tasks. Processes taking place at this time are called service of requirements, and the systems themselves—Queueing Systems. This article is dedicated to computer software modelling of processes taking place in the systems in question, Markov processes in particular. In this article, by means of Matlab environment, software realization of one of the typical models of queueing service theory-multichannel QS with unreliable recoverable servers and limited number of requirements in the system, is fulfilled. The results of this research are important because it gives the possibility to use received results to determine optimality degree of some real queueing systems that possess Markov property.

基于多Agent的服装可持续消费行为建模与仿真

“双碳”目标下,随着服装消费引起的气候变化和环境污染等生态问题日益严重,迫切需要重新思考和重塑服装消费模式,推动服装消费向质量型、低碳化转变,从而实现服装产业的绿色转型。文章运用多Agent建模方法,构建服装可持续消费行为仿真模型,采用Netlogo平台进行仿真实验,探求服装可持续消费行为的影响机理。结果表明,消费者可持续消费认知、产品可持续性和设施供应条件均显著促进可持续消费行为;但不同强度下,产品可持续性和设施供应条件的推动作用存在差异。基于此,从可持续消费认知和供应条件两方面提出了引导中国消费者服装可持续消费行为的建议和对策。

Dynamic simulation based method for the reduction of complexity in design and control of Recirculating Aquaculture Systems

In this work we introduce the“Extensible Fish-tank Volume Model”that can reduce the complexity in the design and control of the Recirculating Aquaculture Systems.In the developed model we adjust the volume of a single fish-tank to the prescribed values of stocking density,by controlling the necessary volume in each time step.Having developed an advantageous feeding,water exchange and oxygen supply strategy,as well as considering a compromise scheduling for the fingerling input and product fish output,we divide the volume vs.time function into equidistant parts and calculate the average volumes for these parts.Comparing these average values with the volumes of available tanks,we can plan the appropriate grades.The elaborated method is a good example for a case,where computational modeling is used to simulate a‘‘fictitious process model”that cannot be feasibly realized in the practice,but can simplify and accelerate the design and planning of real world processes by reducing the complexity.

无线OFDM系统频率选择性衰落信道下的SOVA译码算法

本文对正交频分复用(OFDM)系统频率选择性衰落信道中,信道状态信息(channel state information简称CSI)确知,以及CSI不能或不必精确估计时的SOVA译码算法进行了研究,给出了OFDM系统频率选择性信道BPSK调制时SOVA译码算法的数学描述.在此基础上,我们提出了两种SOVA译码算法:一种是基于盲信道估计的SOVA算法;另一种是不必训练和信道估计的差分SOVA算法,该算法可以在CSI完全未知的情况下进行可靠的SOVA译码.仿真结果说明该算法具有良好的性能.

A solution of multidisciplinary collaborative simulation for complex engineering systems in a distributed heterogeneous environment

This paper presents an integrated approach to multidisciplinary collaborative simulation for complex engineering systems. The formulized paradigm of multidisciplinary collaborative simulation for com- plex engineering systems is principally analyzed. An IEEE HLA and web services based framework is proposed to provide a heterogeneous, distributed and collaborative running environment where multidisciplinary modeling, running management and post-processing of collaborative simulation are undertaken. The mechanism of multidisciplinary collaborative modeling, disciplinary model transformation, and time-synchronized simulation advancement are studied in detail. A prototype with the functions of multidisciplinary modeling, running management and post-processing for collaborative simulations is developed, and a typical complex engineering system is chosen as a case study to demonstrate the effectiveness of this new approach towards collaborative simulation.

Modelling Immune System:Principles,Models,Analysis and Perspectives

The biological immune system is a complex adaptive system.There are lots of benefits for building the model of the immune system.For biological researchers,they can test some hypotheses about the infection process or simulate the responses of some drugs.For computer researchers,they can build distributed,robust and fault tolerant networks inspired by the functions of the immune system.This paper provides a comprehensive survey of the literatures on modelling the immune system.From the methodology perspective,the paper compares and analyzes the existing approaches and models,and also demonstrates the focusing research effort on the future immune models in the next few years.

Research Progress in Laser Active Debris Removal of CAST

Based on the introduction to theresearch status and trend of international space-based laser debris re-moval technology, the existing problems of space-based laser debris removal technology are systematically analyzed.In view of the existing problems, the work and research progress of the Beijing Institute of Spacecraft EnvironmentEngineering in this field are introduced from several aspects, such as dynamic behavior of laser-driven debris, orbittransfer model, ground simulation system, space-based removal system scheme and target selection strategy. The mainresearch methods include laser-driven micro-impulse measurement experiment, surface triangulation three-dimension-al reconstruction calculation method based on laser-material interaction theory, simulation calculation based on orbitaldynamics, etc. It also looks forward to the future research direction in the field of this technology.

改进型RBF神经网络对ROF前传系统非线性行为建模

光载无线电(Radio-over-Fiber, ROF)前传系统在C-RAN基础上简化了基站RRH架构,但是ROF前传系统下行链路包含功放等非线性器件,依然面临非线性失真.先通过行为模型建模得到整个系统的非线性特性是对整个系统构建预失真器极为重要的步骤.针对ROF前传系统下行链路行为模型建模分析,以径向基函数神经网络为基础,提出了改进型复数径向基函数神经网络模型(Improved Complex RBF Neural Network,ICRBFNN),以4 MHz带宽的LTE信号作为测试信号,并与传统的功放模型广义记忆多项式(General Memory Polynomial, GMP)、改进型广义分数阶记忆多项式(Augmented General Fractional order Memory Polynomial,AGFMP)、实数时延神经网络(Real-Value Time-Delay Neural Network, RVTDNN)、实数时延径向基函数神经网络(Real-Valued Time-Delay Radial Basis Function, RVTDRBF)等功放行为模型作对比来验证模型的有效性.仿真实验结果表明,ICRBFNN相比传统功放模型取得了3 dB以上的建模精度提升.

面向大规模地理空间仿真的并行多智能体模型

针对大规模复杂多智能体仿真模型计算性能的问题,构建了一种基于分解-映射智能体任务调度方法的仿真模型。以草原生态政策驱动多智能体模型为例,分别进行1、50、100、500次任务的并行实验,预测不同任务数量下气候因素、出入栏率、综合效益等影响因子的演变过程及模拟消耗时间规律。实验结果证明该并行计算方法可以与多智能体模型完全兼容,极大的提高了大规模地理空间模型的仿真效率,对大规模复杂系统的研究具有重要的参考意义。

商业综合体消费者行为决策机制及空间优化模拟研究

商业综合体的业态组合及空间布局呈现同质化趋势,难以与电商网络背景下消费者体验式随机消费行为相匹配。研究通过分析商业综合体内消费者行为的影响因素建立离散选择模型,并运用多智能体仿真建模技术模拟空间优化策略的实施效果。针对不同类型消费者存在的消费偏好差异,通过提升品牌知名度、调整业态布局,可以有效改善商业空间的客流分布,为商业动态运营提供可视化的决策工具。

血液供应链绩效演进与评价研究:基于ABM+SD耦合建模与仿真

提高血液供应链绩效水平,完善血液保障体系,对于缓解我国的区域性/季节性血荒具有重要价值。为此,从复杂自适应角度出发,以血小板为研究对象,考虑宏观环境调控会影响献血者人数进而影响供应链绩效,提出以血液中心Agent为核心,基于库龄信息的ABM+SD耦合的四级血液供应链绩效演进与评价模型,并对其进行现实性检验与敏感性分析。研究表明:①血液中心Agent与医院Agent均存在自适应调整过程。②提高血液紧缺事件影响力,提升初始献血者人数,均能降低血液中心Agent的短缺率,但也会同时提高过期率。初始献血者人数的增多对于降低短缺率、提高过期率的作用并不明显。而当事件影响力提升至一定程度后,短缺率下降速率逐步放缓,过期率的提高速率逐步加快。③采用血型替代策略可有效降低医院Agent的短缺率与过期率。④提高最大库存水平、缩短血小板保质期均能降低医院Agent的短缺率,并提高过期率。但就整个仿真周期而言,缩短保质期对降低短缺率的作用并不显著。文章研究成果有助于重要节点在血液紧缺背景下更高效地进行供应链决策与控制,提升绩效水平;对破解血液紧缺困境具有一定的指导意义。

复杂构件装配数字孪生建模及系统实现

针对复杂构件装配生产过程中虚实交互困难、装配效率低等问题,提出一种面向复杂构件装配的数字孪生模型建模方法。首先设计了复杂构件装配数字孪生系统架构,然后从几何模型、工艺模型、行为逻辑模型和约束规则模型4个维度构建了复杂构件装配数字孪生虚拟模型,实现了对复杂构件装配物理实体全面真实地刻画与描述。设计并开发了复杂构件装配数字孪生系统,以鲁班锁装配为实例验证了建模方法的有效性,为复杂构件的装配提供了解决方案。

深部复杂矿井通风系统优化数值模拟研究

随着地下矿山生产规模以及开采深度加大,矿井通风系统的合理可靠性面临重大挑战,并成为了井下安全高效生产的决定性因素之一。本文提出了复杂深埋矿山通风系统优化的策略与流程,并采用现场调查和数值模拟相结合的方式开展了湖南水口山康家湾矿通风系统优化研究。通过通风系统测定、风流线路优化、通风工程改造、风机选型等流程为康家湾矿提出了通风系统优化方案。最后,建立了康家湾矿三维通风系统模型,并通过数值模拟评估了该矿通风系统优化效果。研究结果表明,依据本研究的通风优化方案,康家湾矿新鲜风流全部转入预定深部中段,通风系统整体效率由68.2%提升至80.5%,污风串联和风流短路问题得到解决。本研究有助于为深部复杂矿井通风系统优化提供科学指导,为保障地下金属矿山安全生产提供了关键技术支持。

面向复杂电磁环境的体系作战仿真平台设计

战争模拟可划分为战略、战役、战术和技术4个层级。国内外现有战役战术级体系作战仿真平台无法驱动技术层电磁设备专用模型,导致其战场复杂电磁环境仿真逼真度受限。借鉴柔性分析建模与训练平台(flexible analysis modeling and exercise system,FLAMES)系统模型体系架构,基于离散事件仿真系统(a discrete event system simulator,ADEVS)引擎模拟库,设计开发了一套融合战役、战术和技术3个层级,支持系统、实体和组件三级独立仿真步长设置且动态可调的柔性作战仿真平台柔性作战仿真平台(flexible operation simulation,FOSim)。通过驱动技术层专用模型,该平台可将更细粒度电磁设备模型纳入体系作战仿真回路,从而在大规模的战役战术级体系作战仿真中实现高逼真度的复杂电磁环境生成和电磁环境影响效应模拟。

关于在决策推演中计入博弈行为的评述

有别于信息物理系统(CPS),信息物理社会系统(CPSS)必须考虑参与者理性及非理性行为的影响。单独应用理论分析、模型仿真、实验经济学或数据驱动方法,都难以支撑CPSS的研究。混合仿真方法整合上述研究范式的长处,融合统计分析、因果分析与行为分析,可有效地支撑CPSS的研究。为此,除了CPS研究中涉及的数学模型外,还必须构建多代理模型来反映理性行为的高维不确定性。在反复仿真的过程中就只需要少数参与者来反映非理性行为的影响,大大降低了对合格参与者规模的需求。文中结合电动汽车用户的购置意愿、出行意愿、碳市场交易决策行为方面的研究案例,揭示了混合仿真方法的实践可行性。