组合网络控制拓扑建模与鲁棒性分析仿真  

Combination of Network Topology Control Simulation Modeling and Robustness Analysis

作　　者：韩红章[1,2] 

机构地区：[1]江苏理工学院计算机工程学院,江苏常州213001 [2]常州市云计算与智能信息处理重点实验室,江苏常州213001

出　　处：《微电子学与计算机》2014年第6期162-165,170,共5页Microelectronics & Computer

基　　金：江苏省高校自然科学研究项目(13KJB520005);江苏理工学院校青年科研基金项目(KYY12025);常州市云计算与智能信息处理重点实验室(CM20123004)

摘　　要：组合网络最优决策控制拓扑建模与结构鲁棒性分析能够提高组合网络控制结构的抗干扰能力.在组合网络最优决策控制过程中,容易受到环境因素的干扰,无法形成固定的控制决策,影响了组合网络决策控制的鲁棒性测试.提出基于概率解析算法的组合网络控制结构鲁棒性测试方法.筛选组合网络中控制结构鲁棒性影响因素,建立鲁棒性影响因素数据集合,并对不同鲁棒性影响因素的权重进行计算.根据概率解析算法相关理论,获取组合网络最优决策控制鲁棒性影响因素的灵敏度函数和数据传输函数,对结构的鲁棒性进行准确的分析.实验结果表明,利用改进算法进行组合网络中最优决策控制结构鲁棒性分析,能够提高分析的准确性,满足组合网络应用的实际需求.Composite structure of network topology modeling and optimal decision control robustness analysis can improve the anti-interference ability of combination network control structure . In the process of combination network optimal decision control ,vulnerable to the interference of environmental factors ,unable to form a fixed control decisions , influence the combination network decision-making control robustness test . Based on the combination of the probabilistic parsing algorithm network control structure of robustness test method .Screening combination in the network robustness control structure influencing factors ,establish robust factors affecting the data collection ,robustness and the different weights of affecting factors to calculate .Combination according to the related theory ,probabilistic parsing algorithm for network optimal decision control robustness sensitivity function and data transmission function ,the influential factors of robustness for accurate analysis of the structure .The experimental results show that the improved algorithm are combined in the network robustness analysis ,optimal decision control structure can improve the accuracy of analysis ,meet the actual demand of combination of network application .

关 键 词：决策控制 拓扑建模 鲁棒性 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]