Graph theoretic methods in multiagent networks /:
"This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quant...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Princeton :
Princeton University Press,
©2010.
|
Schriftenreihe: | Princeton series in applied mathematics.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: University of Stuttgart, Germany; Royal Institute of Technology, Sweden; Georgia Tech, USA; University of Washington, USA; Ohio University, USA"--EBL book details. An introduction to the analysis & design of dynamic multiagent networks. These have a wide range of applications in science & engineering, including mobile sensor networks, distributed robotics, quantum networks, networked economics, biological synchronization & social networks. |
Beschreibung: | 1 online resource (xix, 403 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781400835355 1400835356 |
Internformat
MARC
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006 | m o d | ||
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100 | 1 | |a Mesbahi, Mehran. |1 https://id.oclc.org/worldcat/entity/E39PCjG87QGmyxwGYPjgWHtvXm |0 http://id.loc.gov/authorities/names/n2010023805 | |
245 | 1 | 0 | |a Graph theoretic methods in multiagent networks / |c Mehran Mesbahi and Magnus Egerstedt. |
260 | |a Princeton : |b Princeton University Press, |c ©2010. | ||
300 | |a 1 online resource (xix, 403 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Princeton series in applied mathematics | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Foundations -- Multiagent networks -- Networks as systems -- Appendix A. -- Bibliography -- Index. | |
520 | |a "This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: University of Stuttgart, Germany; Royal Institute of Technology, Sweden; Georgia Tech, USA; University of Washington, USA; Ohio University, USA"--EBL book details. | ||
520 | 8 | |a An introduction to the analysis & design of dynamic multiagent networks. These have a wide range of applications in science & engineering, including mobile sensor networks, distributed robotics, quantum networks, networked economics, biological synchronization & social networks. | |
588 | 0 | |a Print version record. | |
650 | 0 | |a Network analysis (Planning) |x Graphic methods. | |
650 | 0 | |a Multiagent systems |x Mathematical models. | |
650 | 6 | |a Analyse de réseau (Planification) |x Méthodes graphiques. | |
650 | 6 | |a Systèmes multiagents (Intelligence artificielle) |x Modèles mathématiques. | |
650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
650 | 7 | |a MATHEMATICS |x Graphic Methods. |2 bisacsh | |
653 | |a Addition. | ||
653 | |a Adjacency matrix. | ||
653 | |a Algebraic graph theory. | ||
653 | |a Algorithm. | ||
653 | |a Automorphism. | ||
653 | |a Bipartite graph. | ||
653 | |a Cardinality. | ||
653 | |a Cartesian product. | ||
653 | |a Circulant graph. | ||
653 | |a Combinatorics. | ||
653 | |a Complete graph. | ||
653 | |a Computation. | ||
653 | |a Connectivity (graph theory). | ||
653 | |a Controllability. | ||
653 | |a Convex combination. | ||
653 | |a Corollary. | ||
653 | |a Cycle graph (algebra). | ||
653 | |a Cycle space. | ||
653 | |a Degree (graph theory). | ||
653 | |a Degree matrix. | ||
653 | |a Diagonal matrix. | ||
653 | |a Diameter. | ||
653 | |a Differentiable function. | ||
653 | |a Dimension. | ||
653 | |a Directed graph. | ||
653 | |a Division by zero. | ||
653 | |a Dynamical system. | ||
653 | |a Eigenvalues and eigenvectors. | ||
653 | |a Equilibrium point. | ||
653 | |a Estimation. | ||
653 | |a Estimator. | ||
653 | |a Existential quantification. | ||
653 | |a Extremal graph theory. | ||
653 | |a Graph (discrete mathematics). | ||
653 | |a Graph theory. | ||
653 | |a Identity matrix. | ||
653 | |a Incidence matrix. | ||
653 | |a Information exchange. | ||
653 | |a Initial condition. | ||
653 | |a Interconnection. | ||
653 | |a Iteration. | ||
653 | |a Kalman filter. | ||
653 | |a Kronecker product. | ||
653 | |a LTI system theory. | ||
653 | |a LaSalle's invariance principle. | ||
653 | |a Laplacian matrix. | ||
653 | |a Least squares. | ||
653 | |a Line graph. | ||
653 | |a Linear map. | ||
653 | |a Lipschitz continuity. | ||
653 | |a Lyapunov function. | ||
653 | |a Lyapunov stability. | ||
653 | |a Markov chain. | ||
653 | |a Mathematical optimization. | ||
653 | |a Matrix exponential. | ||
653 | |a Measurement. | ||
653 | |a Multi-agent system. | ||
653 | |a Nash equilibrium. | ||
653 | |a Natural number. | ||
653 | |a Network topology. | ||
653 | |a Nonnegative matrix. | ||
653 | |a Notation. | ||
653 | |a Observability. | ||
653 | |a Optimal control. | ||
653 | |a Optimization problem. | ||
653 | |a Pairwise. | ||
653 | |a Parameter. | ||
653 | |a Path graph. | ||
653 | |a Permutation matrix. | ||
653 | |a Permutation. | ||
653 | |a Positive semidefinite. | ||
653 | |a Positive-definite matrix. | ||
653 | |a Probability. | ||
653 | |a Quantity. | ||
653 | |a Random graph. | ||
653 | |a Random variable. | ||
653 | |a Rate of convergence. | ||
653 | |a Requirement. | ||
653 | |a Result. | ||
653 | |a Robotics. | ||
653 | |a Scientific notation. | ||
653 | |a Sensor. | ||
653 | |a Sign (mathematics). | ||
653 | |a Simplicial complex. | ||
653 | |a Special case. | ||
653 | |a Spectral graph theory. | ||
653 | |a Stochastic matrix. | ||
653 | |a Strongly connected component. | ||
653 | |a Subset. | ||
653 | |a Summation. | ||
653 | |a Supergraph. | ||
653 | |a Symmetric matrix. | ||
653 | |a Systems theory. | ||
653 | |a Theorem. | ||
653 | |a Theory. | ||
653 | |a Unit interval. | ||
653 | |a Upper and lower bounds. | ||
653 | |a Variable (mathematics). | ||
653 | |a Vector space. | ||
653 | |a Without loss of generality. | ||
700 | 1 | |a Egerstedt, Magnus. |1 https://id.oclc.org/worldcat/entity/E39PBJjMx6F6DcgXY8f4PfBHG3 |0 http://id.loc.gov/authorities/names/nb2008008634 | |
758 | |i has work: |a Graph theoretic methods in multiagent networks (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGMfRyRvJQHWyhM3gKC38K |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
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830 | 0 | |a Princeton series in applied mathematics. |0 http://id.loc.gov/authorities/names/no2002046464 | |
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocn701703574 |
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adam_text | |
any_adam_object | |
author | Mesbahi, Mehran |
author2 | Egerstedt, Magnus |
author2_role | |
author2_variant | m e me |
author_GND | http://id.loc.gov/authorities/names/n2010023805 http://id.loc.gov/authorities/names/nb2008008634 |
author_facet | Mesbahi, Mehran Egerstedt, Magnus |
author_role | |
author_sort | Mesbahi, Mehran |
author_variant | m m mm |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | T - Technology |
callnumber-label | T57 |
callnumber-raw | T57.85 .M43 2010eb |
callnumber-search | T57.85 .M43 2010eb |
callnumber-sort | T 257.85 M43 42010EB |
callnumber-subject | T - General Technology |
classification_rvk | SK 890 |
collection | ZDB-4-EBA |
contents | Foundations -- Multiagent networks -- Networks as systems -- Appendix A. -- Bibliography -- Index. |
ctrlnum | (OCoLC)701703574 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik Mathematik |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn701703574 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:17:41Z |
institution | BVB |
isbn | 9781400835355 1400835356 |
language | English |
lccn | 2010012844 |
oclc_num | 701703574 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xix, 403 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2010 |
publishDateSearch | 2010 |
publishDateSort | 2010 |
publisher | Princeton University Press, |
record_format | marc |
series | Princeton series in applied mathematics. |
series2 | Princeton series in applied mathematics |
spelling | Mesbahi, Mehran. https://id.oclc.org/worldcat/entity/E39PCjG87QGmyxwGYPjgWHtvXm http://id.loc.gov/authorities/names/n2010023805 Graph theoretic methods in multiagent networks / Mehran Mesbahi and Magnus Egerstedt. Princeton : Princeton University Press, ©2010. 1 online resource (xix, 403 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Princeton series in applied mathematics Includes bibliographical references and index. Foundations -- Multiagent networks -- Networks as systems -- Appendix A. -- Bibliography -- Index. "This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph theoretic methods for the analysis and synthesis of dynamic multiagent networks, the book presents a powerful new formalism and set of tools for networked systems. The book's three sections look at foundations, multiagent networks, and networks as systems. The authors give an overview of important ideas from graph theory, followed by a detailed account of the agreement protocol and its various extensions, including the behavior of the protocol over undirected, directed, switching, and random networks. They cover topics such as formation control, coverage, distributed estimation, social networks, and games over networks. And they explore intriguing aspects of viewing networks as systems, by making these networks amenable to control-theoretic analysis and automatic synthesis, by monitoring their dynamic evolution, and by examining higher-order interaction models in terms of simplicial complexes and their applications. The book will interest graduate students working in systems and control, as well as in computer science and robotics. It will be a standard reference for researchers seeking a self-contained account of system-theoretic aspects of multiagent networks and their wide-ranging applications. This book has been adopted as a textbook at the following universities: University of Stuttgart, Germany; Royal Institute of Technology, Sweden; Georgia Tech, USA; University of Washington, USA; Ohio University, USA"--EBL book details. An introduction to the analysis & design of dynamic multiagent networks. These have a wide range of applications in science & engineering, including mobile sensor networks, distributed robotics, quantum networks, networked economics, biological synchronization & social networks. Print version record. Network analysis (Planning) Graphic methods. Multiagent systems Mathematical models. Analyse de réseau (Planification) Méthodes graphiques. Systèmes multiagents (Intelligence artificielle) Modèles mathématiques. COMPUTERS General. bisacsh MATHEMATICS Graphic Methods. bisacsh Addition. Adjacency matrix. Algebraic graph theory. Algorithm. Automorphism. Bipartite graph. Cardinality. Cartesian product. Circulant graph. Combinatorics. Complete graph. Computation. Connectivity (graph theory). Controllability. Convex combination. Corollary. Cycle graph (algebra). Cycle space. Degree (graph theory). Degree matrix. Diagonal matrix. Diameter. Differentiable function. Dimension. Directed graph. Division by zero. Dynamical system. Eigenvalues and eigenvectors. Equilibrium point. Estimation. Estimator. Existential quantification. Extremal graph theory. Graph (discrete mathematics). Graph theory. Identity matrix. Incidence matrix. Information exchange. Initial condition. Interconnection. Iteration. Kalman filter. Kronecker product. LTI system theory. LaSalle's invariance principle. Laplacian matrix. Least squares. Line graph. Linear map. Lipschitz continuity. Lyapunov function. Lyapunov stability. Markov chain. Mathematical optimization. Matrix exponential. Measurement. Multi-agent system. Nash equilibrium. Natural number. Network topology. Nonnegative matrix. Notation. Observability. Optimal control. Optimization problem. Pairwise. Parameter. Path graph. Permutation matrix. Permutation. Positive semidefinite. Positive-definite matrix. Probability. Quantity. Random graph. Random variable. Rate of convergence. Requirement. Result. Robotics. Scientific notation. Sensor. Sign (mathematics). Simplicial complex. Special case. Spectral graph theory. Stochastic matrix. Strongly connected component. Subset. Summation. Supergraph. Symmetric matrix. Systems theory. Theorem. Theory. Unit interval. Upper and lower bounds. Variable (mathematics). Vector space. Without loss of generality. Egerstedt, Magnus. https://id.oclc.org/worldcat/entity/E39PBJjMx6F6DcgXY8f4PfBHG3 http://id.loc.gov/authorities/names/nb2008008634 has work: Graph theoretic methods in multiagent networks (Text) https://id.oclc.org/worldcat/entity/E39PCGMfRyRvJQHWyhM3gKC38K https://id.oclc.org/worldcat/ontology/hasWork Print version: Mesbahi, Mehran. Graph theoretic methods in multiagent networks. Princeton : Princeton University Press, ©2010 9780691140612 (DLC) 2010012844 (OCoLC)466341412 Princeton series in applied mathematics. http://id.loc.gov/authorities/names/no2002046464 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=816475 Volltext |
spellingShingle | Mesbahi, Mehran Graph theoretic methods in multiagent networks / Princeton series in applied mathematics. Foundations -- Multiagent networks -- Networks as systems -- Appendix A. -- Bibliography -- Index. Network analysis (Planning) Graphic methods. Multiagent systems Mathematical models. Analyse de réseau (Planification) Méthodes graphiques. Systèmes multiagents (Intelligence artificielle) Modèles mathématiques. COMPUTERS General. bisacsh MATHEMATICS Graphic Methods. bisacsh |
title | Graph theoretic methods in multiagent networks / |
title_auth | Graph theoretic methods in multiagent networks / |
title_exact_search | Graph theoretic methods in multiagent networks / |
title_full | Graph theoretic methods in multiagent networks / Mehran Mesbahi and Magnus Egerstedt. |
title_fullStr | Graph theoretic methods in multiagent networks / Mehran Mesbahi and Magnus Egerstedt. |
title_full_unstemmed | Graph theoretic methods in multiagent networks / Mehran Mesbahi and Magnus Egerstedt. |
title_short | Graph theoretic methods in multiagent networks / |
title_sort | graph theoretic methods in multiagent networks |
topic | Network analysis (Planning) Graphic methods. Multiagent systems Mathematical models. Analyse de réseau (Planification) Méthodes graphiques. Systèmes multiagents (Intelligence artificielle) Modèles mathématiques. COMPUTERS General. bisacsh MATHEMATICS Graphic Methods. bisacsh |
topic_facet | Network analysis (Planning) Graphic methods. Multiagent systems Mathematical models. Analyse de réseau (Planification) Méthodes graphiques. Systèmes multiagents (Intelligence artificielle) Modèles mathématiques. COMPUTERS General. MATHEMATICS Graphic Methods. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=816475 |
work_keys_str_mv | AT mesbahimehran graphtheoreticmethodsinmultiagentnetworks AT egerstedtmagnus graphtheoreticmethodsinmultiagentnetworks |