一种基于ODDT的FDES复合因果链层次化解耦方法
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摘要
针对复杂系统结构中模糊因果关系与不精确的信息相耦合所产生的状态爆炸问题,提出一种基于ODDT的FDES复合因果链层次化解耦方法.该方法基于时间约束下复合因果链解耦的Petri网模型(TC-PPN),并以合并状态信息和时序信息为基础,通过构造观测信息的时间约束图,以时间证据合并的方法分析离散事件在时间维度上的可观性,进而提出了FDES中复杂系统在时间维度上的模糊可观程度概念及测量方法.最后根据全局状态的时间信息计算其可观程度,构造出一种基于ODDT的FDES复合因果链层次化解耦方法.
In order to solve the state explosion problem caused by the coupling of fuzzy causality and inaccurate information in complex system structure,in this paper a hierarchical decoupling method based on ODDT for FDES composite causal chain was proposed. The method was based on Petri nets model( TC-PPN) for decoupling the causal chain under the time constraints. Then based on the merged state information and timing information,the conception and measurement method of Observable Degree in Dimensionality of Time( ODDT) of complex systems in FDES were further proposed by constructing the time constrained graph of observation information. Finally,based on the time information of the global state,the degree of observability was calculated and a hierarchical decoupling method based on ODDT was proposed.
In order to solve the state explosion problem caused by the coupling of fuzzy causality and inaccurate information in complex system structure,in this paper a hierarchical decoupling method based on ODDT for FDES composite causal chain was proposed. The method was based on Petri nets model( TC-PPN) for decoupling the causal chain under the time constraints. Then based on the merged state information and timing information,the conception and measurement method of Observable Degree in Dimensionality of Time( ODDT) of complex systems in FDES were further proposed by constructing the time constrained graph of observation information. Finally,based on the time information of the global state,the degree of observability was calculated and a hierarchical decoupling method based on ODDT was proposed.
引文
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[11]周玉兰,王玉玲,赵曼勇.2004年全国电网继电保护与安全自动装置运行情况[J].电网技术,2005,29(16):42-48.
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[13]吴欣,郭创新,曹一家.基于贝叶斯网络及信息时序属性的电力系统故障诊断方法[J].中国电机工程学报,2005,25(13):14-18.
[14]马贺贺,胡益,侍洪波.基于马氏距离局部离群因子方法的复杂化工过程故障检测[J].化工学报,2013,64(5):1674-1682.
[2]SASI Y,LIN F.Detectability of networked discrete event systems[J].Discrete event dynamic systems,2018,28(3):449-470.
[3]文习明,余泉,常亮,等.不确定观测下离散事件系统的可诊断性[J].软件学报,2017,28(5):1091-1106.
[4]刘清兰,王飞,张波业,等.模糊离散事件系统的多故障诊断[J].华侨大学学报(自然科学版),2018,39(1):115-120.
[5]佘维,叶阳东,陈倩.基于EFPN的模糊离散事件系统可诊断性分析[J].计算机科学,2014,41(7):62-67.
[6]XING H Y,ZHANG Q S,HUANG K S.Analysis and control of fuzzy discrete event systems using bisimulation equivalence[J].Theoretical computer science,2012,456:100-111.
[7]张恒艳,高中文,李文龙,等.不确定T-S模糊系统的跟踪控制器设计[J].郑州大学学报(工学版),2016,37(2):15-19.
[8]JAYASIRI A,MANN G K I,GOSINE R G.Behavior coordination of mobile robotics using supervisory control of fuzzy discrete event systems[J].IEEE transactions on systems,man&cybernetics,part B,2011,41(5):1224-1238.
[9]路光辉,佘维,雍明超,等.一种基于时间约束可能性Petri网的设备状态分析模型[J].计算机应用研究,2017,34(11):3262-3266.
[10]佘维,杨慕,陈倩,等.模糊离散事件系统时间维度可诊断性分析[J].合肥工业大学学报(自然科学版),2015,38(7):906-913.
[11]周玉兰,王玉玲,赵曼勇.2004年全国电网继电保护与安全自动装置运行情况[J].电网技术,2005,29(16):42-48.
[12]杨健维,何正友,臧天磊.基于方向性加权模糊Petri网的电网故障诊断方法[J].中国电机工程学报,2010,30(34):42-49.
[13]吴欣,郭创新,曹一家.基于贝叶斯网络及信息时序属性的电力系统故障诊断方法[J].中国电机工程学报,2005,25(13):14-18.
[14]马贺贺,胡益,侍洪波.基于马氏距离局部离群因子方法的复杂化工过程故障检测[J].化工学报,2013,64(5):1674-1682.