Control of complex systems: theory and applications
In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of...
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Weitere Verfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier Butterworth-Heinemann
[2016]
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Schlagworte: | |
Online-Zugang: | TUBA1 URL des Erstveröffentlichers |
Zusammenfassung: | In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: "Introduction and Background on Control Theory, "Adaptive Control and Neuroscience, "Adaptive Learning Algorithms, "Cyber-Physical Systems and Cooperative Control, "Applications. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. .Collection of chapters from several well-known professors and researchers that will showcase their recent work .Presents different state-of-the-art control approaches and theory for complex systems .Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams .Real system examples and figures throughout, make ideas concrete |
Beschreibung: | Includes indexes |
Beschreibung: | 1 Online-Ressource (xxiv, 738 Seiten) Illustrationen |
ISBN: | 9780128052464 |
Internformat
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520 | 3 | |a In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: "Introduction and Background on Control Theory, "Adaptive Control and Neuroscience, "Adaptive Learning Algorithms, "Cyber-Physical Systems and Cooperative Control, "Applications. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. .Collection of chapters from several well-known professors and researchers that will showcase their recent work .Presents different state-of-the-art control approaches and theory for complex systems .Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams .Real system examples and figures throughout, make ideas concrete | |
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id | DE-604.BV045145202 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:09:55Z |
institution | BVB |
isbn | 9780128052464 |
language | English |
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physical | 1 Online-Ressource (xxiv, 738 Seiten) Illustrationen |
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publishDate | 2016 |
publishDateSearch | 2016 |
publishDateSort | 2016 |
publisher | Elsevier Butterworth-Heinemann |
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spelling | Control of complex systems theory and applications edited by Kyriakos G. Vamvoudakis (Blacksburg, VA, United States), Sarangapani Jagannathan (Rolla, MO, United States) Amsterdam Elsevier Butterworth-Heinemann [2016] © 2016 1 Online-Ressource (xxiv, 738 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Includes indexes In the era of cyber-physical systems, the area of control of complex systems has grown to be one of the hardest in terms of algorithmic design techniques and analytical tools. The 23 chapters, written by international specialists in the field, cover a variety of interests within the broader field of learning, adaptation, optimization and networked control. The editors have grouped these into the following 5 sections: "Introduction and Background on Control Theory, "Adaptive Control and Neuroscience, "Adaptive Learning Algorithms, "Cyber-Physical Systems and Cooperative Control, "Applications. The diversity of the research presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended for researchers and control engineers in machine learning, adaptive control, optimization and automatic control systems, including Electrical Engineers, Computer Science Engineers, Mechanical Engineers, Aerospace/Automotive Engineers, and Industrial Engineers. It could be used as a text or reference for advanced courses in complex control systems. .Collection of chapters from several well-known professors and researchers that will showcase their recent work .Presents different state-of-the-art control approaches and theory for complex systems .Gives algorithms that take into consideration the presence of modelling uncertainties, the unavailability of the model, the possibility of cooperative/non-cooperative goals and malicious attacks compromising the security of networked teams .Real system examples and figures throughout, make ideas concrete Control theory Vamvoudakis, Kyriakos G. edt Jagannathan, Sarangapani edt http://www.sciencedirect.com/science/book/9780128052464 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Control of complex systems theory and applications |
title | Control of complex systems theory and applications |
title_auth | Control of complex systems theory and applications |
title_exact_search | Control of complex systems theory and applications |
title_full | Control of complex systems theory and applications edited by Kyriakos G. Vamvoudakis (Blacksburg, VA, United States), Sarangapani Jagannathan (Rolla, MO, United States) |
title_fullStr | Control of complex systems theory and applications edited by Kyriakos G. Vamvoudakis (Blacksburg, VA, United States), Sarangapani Jagannathan (Rolla, MO, United States) |
title_full_unstemmed | Control of complex systems theory and applications edited by Kyriakos G. Vamvoudakis (Blacksburg, VA, United States), Sarangapani Jagannathan (Rolla, MO, United States) |
title_short | Control of complex systems |
title_sort | control of complex systems theory and applications |
title_sub | theory and applications |
url | http://www.sciencedirect.com/science/book/9780128052464 |
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