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Titlebook: Cyber-Physical Systems: Modelling and Intelligent Control; Alla G. Kravets,Alexander A. Bolshakov,Maxim Shche Book 2021 The Editor(s) (if

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書目名稱Cyber-Physical Systems: Modelling and Intelligent Control
編輯Alla G. Kravets,Alexander A. Bolshakov,Maxim Shche
視頻videohttp://file.papertrans.cn/242/241822/241822.mp4
概述Considers open questions in cyber-physical systems modeling and intelligent control including both theoretical and practical aspects.Extends fundamental control theory methods and methodologies as wel
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Cyber-Physical Systems: Modelling and Intelligent Control; Alla G. Kravets,Alexander A. Bolshakov,Maxim Shche Book 2021 The Editor(s) (if
描述This book highlights original approaches of modelling and intelligent control of cyber-physical systems covering both theoretical and practical aspects. The novel contribution of the book covers the transformation of scientific research and their results into applications for cyber-physical systems design and operation during the whole life cycle in different domains.??.Given its scope, the book offers an excellent reference book for researchers and other readers in the fields of cyber-physical systems modelling and intelligent control, space exploration and practical implementation of cyber-physical systems. The book also benefits researchers and practitioners in artificial intelligence and machine learning, as described results can be applied in cyber-physical systems design and cost-effectively maintenance. The target audience of this book also includes practitioners and experts, as well as state authorities and representatives of international organizations interested in creating mechanisms for implementing Cyber-Physical Systems projects.?.
出版日期Book 2021
關鍵詞Cyber-Physical Systems; Mathematical Modelling; Intelligent Control; Artificial Intelligence; System Imp
版次1
doihttps://doi.org/10.1007/978-3-030-66077-2
isbn_softcover978-3-030-66079-6
isbn_ebook978-3-030-66077-2Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Numerical Approaches to Solving a Non-linear System of Schr?dinger Equationsnt second-order dispersion and Raman scattering, which differs from the often-used approach based on the method of splitting into physical processes. The main advantages of the proposed method are its absolute stability through the use of an implicit computing scheme, an integrated mechanism for ref
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Forecast Evaluation Techniques for I4.0 Systemsnciples attributed to the 4th industrial revolution and, in particular, assumes the following capabilities of automated systems: interoperability, decentralization, real-time processing, and service-orientation. Generally, effective forecast evaluation requires us to store both actuals and forecasts
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Conversion of CGA Models to Jordan Controlled Form for Design Significantly Nonlinear Control Systemmentary, multiplicative-isolating approximation, to the Jordan controlled form are investigated. The equations of nonlinear objects in the Jordan controlled form and the algorithm of the analytical solution of the designing problem of the stabilizing control law on the basis of this model are consid
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