Cargando…

Introduction to Averaging Dynamics over Networks.

Annotation

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fagnani, Fabio
Otros Autores: Frasca, Paolo
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing AG, 2017.
Colección:Lecture Notes in Control and Information Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

LEADER 00000cam a2200000Mu 4500
001 EBOOKCENTRAL_on1066186295
003 OCoLC
005 20240329122006.0
006 m o d
007 cr |n|---|||||
008 181117s2017 xx o 000 0 eng d
040 |a EBLCP  |b eng  |e pn  |c EBLCP  |d WYU  |d OCLCQ  |d EBLCP  |d UKAHL  |d OCLCQ  |d REDDC  |d OCLCF  |d OCLCO  |d OCLCL 
020 |a 9783319680224 
020 |a 3319680226 
035 |a (OCoLC)1066186295 
050 4 |a TJ212-225Q295QA402.3 
082 0 4 |a 006.30285436  |2 23 
049 |a UAMI 
100 1 |a Fagnani, Fabio. 
245 1 0 |a Introduction to Averaging Dynamics over Networks. 
260 |a Cham :  |b Springer International Publishing AG,  |c 2017. 
300 |a 1 online resource (145 pages) 
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 Lecture Notes in Control and Information Sciences Ser. ;  |v v. 472 
588 0 |a Print version record. 
520 8 |a Annotation  |b This book deals with averaging dynamics, a paradigmatic example of network based dynamics in multi-agent systems. The book presents all the fundamental results on linear averaging dynamics, proposing a unified and updated viewpoint of many models and convergence results scattered in the literature. Starting from the classical evolution of the powers of a fixed stochastic matrix, the text then considers more general evolutions of products of a sequence of stochastic matrices, either deterministic or randomized. The theory needed for a full understanding of the models is constructed without assuming any knowledge of Markov chains or Perron-Frobenius theory. Jointly with their analysis of the convergence of averaging dynamics, the authors derive the properties of stochastic matrices. These properties are related to the topological structure of the associated graph, which, in the book's perspective, represents the communication between agents. Special attention is paid to how these properties scale as the network grows in size. Finally, the understanding of stochastic matrices is applied to the study of other problems in multi-agent coordination: averaging with stubborn agents and estimation from relative measurements. The dynamics described in the book find application in the study of opinion dynamics in social networks, of information fusion in sensor networks, and of the collective motion of animal groups and teams of unmanned vehicles. Introduction to Averaging Dynamics over Networks will be of material interest to researchers in systems and control studying coordinated or distributed control, networked systems or multiagent systems and to graduate students pursuing courses in these areas. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Multiagent systems. 
650 6 |a Systèmes multiagents (Intelligence artificielle) 
650 7 |a Multiagent systems  |2 fast 
700 1 |a Frasca, Paolo. 
758 |i has work:  |a Introduction to Averaging Dynamics over Networks (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCYKyxR9c8kgdR39BpFXpPP  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Fagnani, Fabio.  |t Introduction to Averaging Dynamics over Networks.  |d Cham : Springer International Publishing AG, ©2017  |z 9783319680217 
830 0 |a Lecture Notes in Control and Information Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=6281843  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH34382100 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL6281843 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL5579523 
994 |a 92  |b IZTAP