Submodularity in Dynamics and Control of Networked Systems
Idioma: inglés
Editorial: Springer, Springer Mär 2018, 2018
Serie: Libro 38 de 65 - Communications and Control Engineering
- Tapa blanda
- Nuevo
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Vendedor de IberLibro desde 23 de enero de 2017
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EUR 106,99
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This item is printed on demand - Print on Demand Titel. Neuware -This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems.In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems.The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 228 pp. Englisch.…
N° de ref. del artículo 9783319800516
- Título
- Submodularity in Dynamics and Control of Networked Systems
- Autor
- Andrew Clark
- Editorial
- Springer, Springer Mär 2018
- Año de publicación
- 2018
- Estado
- Neu
- Encuadernación
- Taschenbuch
- Idioma
- inglés
- ISBN 10
- 3319800515
- ISBN 13
- 9783319800516
- Peso del artículo
- 394 gramos
- Dimensiones
- 235x155x12 mm
- Serie
- Libro 38 de 65: Communications and Control Engineering
This book presents a framework for the control of networked systems utilizing submodular optimization techniques. The main focus is on selecting input nodes for the control of networked systems, an inherently discrete optimization problem with applications in power system stability, social influence dynamics, and the control of vehicle formations. The first part of the book is devoted to background information on submodular functions, matroids, and submodular optimization, and presents algorithms for distributed submodular optimization that are scalable to large networked systems.
In turn, the second part develops a unifying submodular optimization approach to controlling networked systems based on multiple performance and controllability criteria. Techniques are introduced for selecting input nodes to ensure smooth convergence, synchronization, and robustness to environmental and adversarial noise. Submodular optimization is the first unifying approach towards guaranteeing both performance and controllability with provable optimality bounds in static as well as time-varying networks. Throughout the text, the submodular framework is illustrated with the help of numerical examples and application-based case studies in biological, energy and vehicular systems.
The book effectively combines two areas of growing interest, and will be especially useful for researchers in control theory, applied mathematics, networking or machine learning with experience in submodular optimization but who are less familiar with the problems and tools available for networked systems (or vice versa). It will also benefit graduate students, offering consistent terminology and notation that greatly reduces the initial effort associated with beginning a course of study in a new area.
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Acerca del autor
Basel Alomair is an Assistant Professor and Founding Director of the National Center for Cybersecurity Technology (C4C) in King Abdulaziz City for Science and Technology (KACST), an Affiliate Professor and co-director of the Network Security Lab (NSL) at the University of Washington-Seattle, an Affiliate Professor at King Saud University (KSU), and a cryptology consultant at various agencies. He was recognized by the IEEE Technical Committee on Fault-Tolerant Computing (TC-FTC) and the IFIP Working Group on Dependable Computing and Fault Tolerance (WG 10.4) with the 2010 IEEE/IFIP William Carter Award for his significant contributions in the area of dependable computing. His research in information security was recognized with the 2011 Outstanding Research Award from the University of Washington. He was also the recipient of the 2012 Distinguished Dissertation Award from the Center for Information Assurance and Cybersecurity at the University of Washington (UW CIAC). He was awarded the 2015 Early Career Award in Cybersecurity by the NSA/DHS Center of Academic Excellence in Information Assurance Research for his contributions to Modern Cryptographic Systems and Visionary Leadership. He authored/co-authored multiple best paper awards.
Radha Poovendran is a Professor and Chairman of the Electrical Engineering Department at UW. He is an elected Fellow of the IEEE for his contributions to security in cyber physical systems. Professor Poovendran is the founding director of the Network Security Lab (NSL) in the Electrical Engineering Dept. at the University of Washington. He is a founding member and the associate director of research of the University of Washington Center for Excellence in Information Assurance Research and Education. His research interests are in the areas of wireless and sensor network security, cyber-physical system security, adversarial modeling, privacy and anonymity in public wireless networks, control-security, games-security and information theoretic security in the context of wireless mobile networks. Professor Poovendran is a recipient of the NSA LUCITE Rising Star Award, National Science Foundation, ARO YIP, ONR YIP, and PECASE (2005) for his research contributions to multi-user wireless security. He is also a recipient of the Outstanding Teaching Award and Outstanding Research Advisor Award from UW EE (2002) and Graduate Mentor Award from Office of the Chancellor at University of California San Diego (2006). Professor Poovendran was co-author of award-winning papers including IEEE/IFIP William C. Carter Award Paper (2010) and WiOpt Best Paper Award (2012).
“Acerca de” puede pertenecer a otra edición de este título.
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