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Proceedings of the 3rd Conference on...
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Conference on Physical Modeling for Virtual Manufacturing Systems and Processes (2023 :)
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Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes/ edited by Jan C. Aurich, Christoph Garth, Barbara S. Linke.
其他作者:
Aurich, Jan C.
團體作者:
Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
出版者:
Cham :Springer International Publishing : : 2023.,
面頁冊數:
xiii, 295 p. :ill. (some col.), digital ;24 cm.
內容註:
PART 1. Guidance, Navigation and Control, and Sensor Technologies -- PART 2. Robotic Technologies -- PART 3. Stochastic Systems and Game Theory -- PART 4. Optimal Control and Applications -- PART 5. Modeling and Data Analytics -- PART 6. Nonlinear Control Systems and Machine Learning.
Contained By:
Springer Nature eBook
標題:
Manufacturing processes - Mathematical models -
電子資源:
https://doi.org/10.1007/978-3-031-35779-4
ISBN:
9783031357794
Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
[electronic resource] /edited by Jan C. Aurich, Christoph Garth, Barbara S. Linke. - Cham :Springer International Publishing :2023. - xiii, 295 p. :ill. (some col.), digital ;24 cm.
PART 1. Guidance, Navigation and Control, and Sensor Technologies -- PART 2. Robotic Technologies -- PART 3. Stochastic Systems and Game Theory -- PART 4. Optimal Control and Applications -- PART 5. Modeling and Data Analytics -- PART 6. Nonlinear Control Systems and Machine Learning.
Open access.
This is an open access book reporting the results of nine years research of the International Research Training Group (IRTG) 2057, funded by the German Research Foundation (DFG) The IRTG is a joint venture between the TU Kaiserslautern, the University of California Berkeley, and University of California Davis. The book is content-driven mainly by two disciplines: engineering and computer science. Through the application of scientific knowledge and advanced computer-based methods in conjunction with physical models on a level unrealized in the past, technologies and methods are promoted, which can be used for planning and optimization of manufacturing systems and processes. As a result, fundamental understanding as well as extensive systems, tools and computational algorithms, which significantly improve the integration of advanced computational methods for solving problems of manufacturing systems and processes will be available. This open access book is of interest to any researcher dealing with process and factory planning in manufacturing, like for cutting and additive manufacturing.
ISBN: 9783031357794
Standard No.: 10.1007/978-3-031-35779-4doiSubjects--Topical Terms:
686605
Manufacturing processes
--Mathematical models
LC Class. No.: TS183
Dewey Class. No.: 658.50015118
Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
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PART 1. Guidance, Navigation and Control, and Sensor Technologies -- PART 2. Robotic Technologies -- PART 3. Stochastic Systems and Game Theory -- PART 4. Optimal Control and Applications -- PART 5. Modeling and Data Analytics -- PART 6. Nonlinear Control Systems and Machine Learning.
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This is an open access book reporting the results of nine years research of the International Research Training Group (IRTG) 2057, funded by the German Research Foundation (DFG) The IRTG is a joint venture between the TU Kaiserslautern, the University of California Berkeley, and University of California Davis. The book is content-driven mainly by two disciplines: engineering and computer science. Through the application of scientific knowledge and advanced computer-based methods in conjunction with physical models on a level unrealized in the past, technologies and methods are promoted, which can be used for planning and optimization of manufacturing systems and processes. As a result, fundamental understanding as well as extensive systems, tools and computational algorithms, which significantly improve the integration of advanced computational methods for solving problems of manufacturing systems and processes will be available. This open access book is of interest to any researcher dealing with process and factory planning in manufacturing, like for cutting and additive manufacturing.
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