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Author: Andrew Clark
Publisher: Springer
ISBN: 3319269771
Category : Technology & Engineering
Languages : en
Pages : 220
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Book Description
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.
Author: Andrew Clark
Publisher: Springer
ISBN: 3319269771
Category : Technology & Engineering
Languages : en
Pages : 220
Get Book Here
Book Description
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.
Author: Tong Zhou
Publisher: Butterworth-Heinemann
ISBN: 0128092211
Category : Technology & Engineering
Languages : en
Pages : 498
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Book Description
Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design, and major achievements. Numerical examples in chapters provide strong application backgrounds and/or are abstracted from actual engineering problems, such as gene regulation networks and electricity power systems. This book is an ideal resource for researchers in the field of systems and control engineering. - Provides necessary mathematical knowledge for studying large scale networked systems - Introduces new features for filter and control design of networked control systems - Summarizes the most recent results on structural identification of a networked system, attack identification and prevention
Author: Dániel Leitold
Publisher: Springer Nature
ISBN: 3030364720
Category : Computers
Languages : en
Pages : 119
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Book Description
This book explores the key idea that the dynamical properties of complex systems can be determined by effectively calculating specific structural features using network science-based analysis. Furthermore, it argues that certain dynamical behaviours can stem from the existence of specific motifs in the network representation. Over the last decade, network science has become a widely applied methodology for the analysis of dynamical systems. Representing the system as a mathematical graph allows several network-based methods to be applied, and centrality and clustering measures to be calculated in order to characterise and describe the behaviours of dynamical systems. The applicability of the algorithms developed here is presented in the form of well-known benchmark examples. The algorithms are supported by more than 50 figures and more than 170 references; taken together, they provide a good overview of the current state of network science-based analysis of dynamical systems, and suggest further reading material for researchers and students alike. The files for the proposed toolbox can be downloaded from a corresponding website.
Author: Zhang, Yu
Publisher: IGI Global
ISBN: 1466615664
Category : Computers
Languages : en
Pages : 343
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Book Description
Many everyday dilemmas existing in the real world are complex and difficult to solve or fix, ranging from tax evasion to dispatching taxis to scheduling patient visits in hospitals, and much more. Within these complicated problems, however, lies the potential to be simplified or solved by intelligent agents and multi-agent systems. Theoretical and Practical Frameworks for Agent-Based Systems tackles these real problems and many more, bringing the theoretical research of intelligent agents to researchers and practitioners in academia, government, and innumerable industries. Professionals and experts in every field ranging from education to healthcare and beyond will find this reference to be essential in the understanding of agents, and researchers currently working in the field of intelligent agents will benefit from this exciting examination of practical applications.
Author: Hocine Cherifi
Publisher: Springer Nature
ISBN: 3031534999
Category :
Languages : en
Pages : 523
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Book Description
Author: Alexander G. Chkhartishvili
Publisher: Springer
ISBN: 3030054292
Category : Technology & Engineering
Languages : en
Pages : 186
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Book Description
This book surveys the well-known results and also presents a series of original results on the mathematical modeling of social networks, focusing on models of informational influence, control and confrontation. Online social networks are intended for communication, opinion exchange and information acquisition for their members, but recently, online social networks have been intensively used as the objects and means of informational control and an arena of informational confrontation. They have become a powerful informational influence tool, particularly for the manipulation of individuals, social groups and society as a whole, as well as a battlefield of information warfare (cyberwars). This book aimed at under- and postgraduate university students as well as experts in information technology and modeling of social systems and processes.
Author: Sabine Mondie
Publisher: Elsevier
ISBN: 9780080441313
Category : Science
Languages : en
Pages : 780
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Book Description
Author: Andreas Kemper
Publisher: Springer Science & Business Media
ISBN: 3790823678
Category : Business & Economics
Languages : en
Pages : 309
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Book Description
The customer base is an important value driver of software companies and a reliable prediction of its development is fundamental for investment decisions. A particularity in software markets is that an individual’s purchasing decision is often influenced by other users’ choices. Although such customer network effects are evident, their quantitative assessment remain elusive with conventional approaches. This book contributes to closing this gap by developing methods for measuring network effects and their implications for valuation in software markets. Based on the theory of complex networks the book reveals that such diffusion processes highly depend on structural properties of customer networks. Moreover, it depicts that such insights are contributions to improve the quality of valuations in software markets. But the implications of this research also comprise social and political aspects as they can be applied in order to prevent corporate failures in all network effect markets.
Author: Anuradha M. Annaswamy
Publisher: John Wiley & Sons
ISBN: 1119857422
Category : Computers
Languages : en
Pages : 596
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Book Description
Cyber–Physical–Human Systems A comprehensive edited volume exploring the latest in the interactions between cyber–physical systems and humans In Cyber–Physical–Human Systems: Fundamentals and Applications, a team of distinguished researchers delivers a robust and up-to-date volume of contributions from leading researchers on Cyber–Physical–Human Systems, an emerging class of systems with increased interactions between cyber–physical, and human systems communicating with each other at various levels across space and time, so as to achieve desired performance related to human welfare, efficiency, and sustainability. The editors have focused on papers that address the power of emerging CPHS disciplines, all of which feature humans as an active component during cyber and physical interactions. Articles that span fundamental concepts and methods to various applications in engineering sectors of transportation, robotics, and healthcare and general socio-technical systems such as smart cities are featured. Together, these articles address challenges and opportunities that arise due to the emerging interactions between cyber–physical systems and humans, allowing readers to appreciate the intersection of cyber–physical system research and human behavior in large-scale systems. In the book, readers will also find: A thorough introduction to the fundamentals of cyber–physical–human systems In-depth discussions of cyber–physical–human systems with applications in transportation, robotics, and healthcare A comprehensive treatment of socio-technical systems, including social networks and smart cities Perfect for cyber–physical systems researchers, academics, and graduate students, Cyber–Physical–Human Systems: Fundamentals and Applications will also earn a place in the libraries of research and development professionals working in industry and government agencies.
Author: Yue Wang
Publisher: John Wiley & Sons
ISBN: 111926619X
Category : Technology & Engineering
Languages : en
Pages : 318
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Book Description
A comprehensive review of the state of the art in the control of multi-agent systems theory and applications The superiority of multi-agent systems over single agents for the control of unmanned air, water and ground vehicles has been clearly demonstrated in a wide range of application areas. Their large-scale spatial distribution, robustness, high scalability and low cost enable multi-agent systems to achieve tasks that could not successfully be performed by even the most sophisticated single agent systems. Cooperative Control of Multi-Agent Systems: Theory and Applications provides a wide-ranging review of the latest developments in the cooperative control of multi-agent systems theory and applications. The applications described are mainly in the areas of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). Throughout, the authors link basic theory to multi-agent cooperative control practice — illustrated within the context of highly-realistic scenarios of high-level missions — without losing site of the mathematical background needed to provide performance guarantees under general working conditions. Many of the problems and solutions considered involve combinations of both types of vehicles. Topics explored include target assignment, target tracking, consensus, stochastic game theory-based framework, event-triggered control, topology design and identification, coordination under uncertainty and coverage control. Establishes a bridge between fundamental cooperative control theory and specific problems of interest in a wide range of applications areas Includes example applications from the fields of space exploration, radiation shielding, site clearance, tracking/classification, surveillance, search-and-rescue and more Features detailed presentations of specific algorithms and application frameworks with relevant commercial and military applications Provides a comprehensive look at the latest developments in this rapidly evolving field, while offering informed speculation on future directions for collective control systems The use of multi-agent system technologies in both everyday commercial use and national defense is certain to increase tremendously in the years ahead, making this book a valuable resource for researchers, engineers, and applied mathematicians working in systems and controls, as well as advanced undergraduates and graduate students interested in those areas.
