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作 者:XU Changyi WANG Yun DUAN Yiman ZHANG Chao
机构地区:[1]Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education,School of Control Science and Engineering,Dalian University of Technology,Dalian 116024,China [2]State Key Laboratory of Fluid Power and Mechatronic Systems,School of Mechanical Engineering,Zhejiang University,Hangzhou 310027,China
出 处:《Journal of Systems Engineering and Electronics》2024年第5期1219-1230,共12页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation of China(U21B2074,52105070).
摘 要:Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Consequently,the adoption of advanced modeling methodologies adept at handling complexity and scalability is imperative.Moreover,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the model.In this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the model.In traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone process.Compared with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new semantic.Thus,this general modeling approach has wide potential for future complex and intelligent industrial systems.
关 键 词:industrial complex system operation specifying Boolean semantic discrete event system(DES)theory intelligent operation
分 类 号:TH16[机械工程—机械制造及自动化]
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