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2021年最新SCI期刊影响因子查询系统

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DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS 期刊详细信息

基本信息
期刊名称 DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS
DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS
期刊ISSN 0924-6703
期刊官方网站 http://link.springer.com/journal/10626
是否OA
出版商 Springer Netherlands
出版周期 Quarterly
始发年份
年文章数 20
最新影响因子 1.182(2021)
中科院SCI期刊分区
大类学科 小类学科 Top 综述
工程技术4区 AUTOMATION & CONTROL SYSTEMS 自动化与控制系统4区
MATHEMATICS, APPLIED 应用数学3区
OPERATIONS RESEARCH & MANAGEMENT SCIENCE 运筹学与管理科学4区
CiteScore
CiteScore排名 CiteScore SJR SNIP
学科 排名 百分位 1.92 0.815 1.538
Mathematics
Modelling and Simulation
83 / 259 67%
Engineering
Control and Systems Engineering
98 / 232 57%
Engineering
Electrical and Electronic Engineering
219 / 661 66%
补充信息
自引率 5.70%
H-index 40
SCI收录状况 Science Citation Index Expanded
官方审稿时间
网友分享审稿时间 数据统计中,敬请期待。
PubMed Central (PML) http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0924-6703%5BISSN%5D
投稿指南
期刊投稿网址 http://www.springer.com/journal/10626/submission
收稿范围
The research on discrete event dynamic systems (DEDSs) is multi-disciplinary in nature and its development has been dynamic. Examples of DEDSs include manufacturing plants, communication networks, computer systems, management information databases, logistics systems, command-control-communication systems, robotics, and other man-made operational systems. The state processes of such systems cannot be described by differential equations in general. The aim of this journal, Discrete Event Dynamic Systems: Theory and Applications, is to publish high-quality, peer-reviewed papers on the modeling and control of, and all other aspects related to, DEDSs. In particular, the journal publishes papers dealing with general theories and methodologies of DEDSs and their applications to any particular subject, including hybrid systems, as well as papers discussing practical problems from which some generally applicable DEDS theories or methodologies can be formulated; The scope of this journal is defined by its emphasis on discrete events and the dynamic nature of the systems and on their modeling, control and optimization.
Motivation. The Journal welcomes papers describing modeling and control problems with discrete events from all areas of engineering and sciences. The development of the theory of DEDS must continuously be motivated by concrete problems. The term "problem" is interpreted here in a broad sense to include not only problems from the real world but also well-defined problems arising from the methodological context. As a scientific and engineering discipline, DEDS must have both experimental and theoretical components. Carefully designed experiments accumulate evidence upon which a relevant theory can be built. Conversely, analytical and mathematical reasoning pinpoint further experiments to be conducted for theory validation and extension. The Journal shall encourage papers emphasizing this interplay between modeling, experimentation, and mathematical theory. It is not devoted exclusively to the mathematics of DEDS. The Journal aims at providing a science and engineering knowledge base for the studies of DEDS.
Dynamics of Discrete Event Systems. Recognition of the role of "dynamics" in DEDSs seems crucial for the eventual development of a fruitful theory. While the analysis of DEDS may proceed via many fronts, such as graph theory, queueing theory, simulation, automata, Petri nets, etc., concepts from system theory are expected to play a central role.
Control and Optimization. Most real-world DEDS are "man-made" to serve specific purposes, and, thus, they require control and/or management. Theoretical concepts, such as feedback, stability, and optimality, as well as implementation issues, such as software and languages, will all receive attention.
Interface with Operations Research and Computer Science. It is expected that the future developments of DEDS will continue to involve and be impacted by developments in OR and CS. This journal also welcomes papers dealing with issues at these intersections.
The journal welcomes submissions on all aspects of DEDS, including but not restricted to: theory and formal models (supervisory control, Petri-Nets, Min-Max-plus algebra, DEDS specification, or simulation formalisms), performance analysis, optimization, and optimal control (perturbation analysis, control synthesis, sample-path-based approaches, AI-based learning schemes, scalable solutions to large and complex systems), and applications (case studies and software engineering).
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