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Complex Systems: Spanning Control and Computational Cybernetics: Applications: Dedicated to Professor Georgi M. Dimirovski on his Anniversary 2022 ed. [Kõva köide]

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  • Formaat: Hardback, 539 pages, kõrgus x laius: 235x155 mm, kaal: 1010 g, 225 Illustrations, color; 93 Illustrations, black and white; XXVII, 539 p. 318 illus., 225 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 415
  • Ilmumisaeg: 19-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031009770
  • ISBN-13: 9783031009778
  • Kõva köide
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  • Formaat: Hardback, 539 pages, kõrgus x laius: 235x155 mm, kaal: 1010 g, 225 Illustrations, color; 93 Illustrations, black and white; XXVII, 539 p. 318 illus., 225 illus. in color., 1 Hardback
  • Sari: Studies in Systems, Decision and Control 415
  • Ilmumisaeg: 19-Sep-2022
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031009770
  • ISBN-13: 9783031009778
This book, dedicated to Professor Georgi M. Dimirovski on his anniversary, contains new research directions, challenges, and many relevant applications related to many aspects within the broadly perceived areas of systems and control, including signal analysis and intelligent systems. The project comprises two volumes with papers written by well known and very active researchers and practitioners. The first volume is focused on more foundational aspects related to general issues in systems science and mathematical systems, various problems in control and automation, and the use of computational and artificial intelligence in the context of systems modeling and control. The second volume is concerned with a presentation of relevant applications, notably in robotics, computer networks, telecommunication, fault detection/diagnosis, as well as in biology and medicine, and economic, financial, and social systems too. 
Sensor/Data Fusion for Control of Aerospace Robots.- Robotic Dance Modeling Methods.- A Review of Fuzzy Metaheuristics for Optimal Design of Fuzzy Controllers in Mobile Robotics.- Time Series Prediction Using Time-Series De-Composition and Multi-Reservoirs Echo State Network.- A Proposal for Improving Remaining Useful Life Prediction in Industrial Systems: A Deep Learning Approach.- Fault Diagnosis/Fault-Tolerant Control: A Survey of Results for Linear Systems over Frequency Region in Presence of Disturbances.- New Interval Observer-based Fault Detection for Switched Systems.