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050 4 _aTJ212-225
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100 1 _aNagahara, Masaaki.
_eauthor.
_0(orcid)0000-0002-8992-2495
_1https://orcid.org/0000-0002-8992-2495
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aControl of Multi-agent Systems
_h[electronic resource] :
_bTheory and Simulations with Python /
_cby Masaaki Nagahara, Shun-Ichi Azuma, Hyo-Sung Ahn.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2024.
300 _aXVII, 228 p. 73 illus., 47 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Textbooks in Control and Signal Processing,
_x2510-3814
505 0 _aIntroduction -- Linear Algebra and Graph Theory -- Consensus Control -- Coverage Control -- Formation Control -- Distributed Optimization -- Viral Spreading Phenomena and Control.
520 _aThis textbook teaches control theory for multi-agent systems. Readers will learn the basics of linear algebra and graph theory, which are then developed to describe and solve multi-agent control problems. The authors address important and fundamental problems including: • consensus control; • coverage control; • formation control; • distributed optimization; and • the viral spreading phenomenon. Students' understanding of the core theory for multi-agent control is enhanced through worked examples and programs in the popular Python language. End-of-chapter exercises are provided to help assess learning progress. Instructors who adopt the book for their courses can download a solutions manual and the figures in the book for lecture slides. Additionally, the Python programs are available for download and can be used for experiments by students in advanced undergraduate or graduate courses based on this text. The broad spectrum of applications relevant to this material includes the Internet of Things, cyber-physical systems, robot swarms, communications networks, smart grids, and truck platooning. Additionally, in the spheres of social science and public health, it applies to opinion dynamics and the spreading of viruses in social networks. Students interested in learning about such applications, or in pursuing further research in multi-agent systems from a theoretical perspective, will find much to gain from Control of Multi-agent Systems. Instructors wishing to teach the subject will also find it beneficial.
541 _fUABC ;
_cPerpetuidad
650 0 _aControl engineering.
650 0 _aGraph theory.
650 0 _aArtificial intelligence.
650 0 _aRobotics.
650 1 4 _aControl and Systems Theory.
650 2 4 _aGraph Theory.
650 2 4 _aArtificial Intelligence.
650 2 4 _aRobotics.
700 1 _aAzuma, Shun-Ichi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aAhn, Hyo-Sung.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031529801
776 0 8 _iPrinted edition:
_z9783031529825
776 0 8 _iPrinted edition:
_z9783031529832
830 0 _aAdvanced Textbooks in Control and Signal Processing,
_x2510-3814
856 4 0 _zLibro electrónico
_uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-52981-8
912 _aZDB-2-INR
912 _aZDB-2-SXIT
942 _cLIBRO_ELEC
999 _c276002
_d276001