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001442506 001__ 1442506
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001442506 019__ $$a1280600602$$a1281132783$$a1287766792$$a1294354734$$a1296666882
001442506 020__ $$a9783030868932$$q(electronic bk.)
001442506 020__ $$a3030868931$$q(electronic bk.)
001442506 020__ $$z3030868923
001442506 020__ $$z9783030868925
001442506 0247_ $$a10.1007/978-3-030-86893-2$$2doi
001442506 035__ $$aSP(OCoLC)1280460472
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001442506 049__ $$aISEA
001442506 050_4 $$aQA76.76.I58
001442506 08204 $$a006.30285/436$$223
001442506 1001_ $$aWang, Jing.
001442506 24510 $$aEmergent behavior detection and task coordination for multiagent systems :$$ba distributed estimation and control approach /$$cJing Wang.
001442506 260__ $$aCham, Switzerland :$$bSpringer,$$c[2022]
001442506 300__ $$a1 online resource
001442506 336__ $$atext$$btxt$$2rdacontent
001442506 337__ $$acomputer$$bc$$2rdamedia
001442506 338__ $$aonline resource$$bcr$$2rdacarrier
001442506 347__ $$atext file
001442506 347__ $$bPDF
001442506 4901_ $$aStudies in systems, decision and control,$$x2198-4190 ;$$vv. 397
001442506 504__ $$aIncludes bibliographical references and index.
001442506 5050_ $$aIntroduction -- Preliminaries on System Theory and Optimization Algorithms -- Interaction Topology of Multiagent Systems and Consensus Protocols -- Emergent Behavior Detection in Multiagent Systems -- Distributed Task Coordination of Multiagent Systems -- Multiagent Task Coordination Using Approximate Dynamic Programming -- Distributed Gradient Estimation for Multiagent Task Optimization -- Case Studies and Experiments.
001442506 506__ $$aAccess limited to authorized users.
001442506 520__ $$aThis book addresses problems in the modeling, detection, and control of emergent behaviors and task coordination in multiagent systems. It presents a unified solution to such problems in terms of distributed estimation, distributed control, and optimization of interaction topologies and dynamics. Four aspects of the technical solutions in the book are presented: First, the impact of interaction dynamics on the convergence conditions related to interaction topologies is discussed, utilizing a discontinuous cooperative control algorithm of updated design. Second, distributed least-squares and Kalman filtering algorithms for agents with limited interactions are elaborated upon. Third, a general framework of distributed nonlinear control is established, and distributed adaptive control for nonlinear systems with more general uncertainties is presented. Based on the proposed framework, a distributed nonlinear controller is designed to deal with task coordination of robotic systems with nonholonomic constraints. Finally, the problem of optimal multiagent task coordination is addressed and solutions based on approximate dynamic programming and approximate distributed gradient estimation are presented. Emergent Behavior Detection and Task Coordination for Multiagent Systems is of interest to practicing engineers in areas such as robotics and cyber-physical systems, researchers in the field of systems, controls, and robotics, and senior undergraduate and graduate students.
001442506 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 28, 2021).
001442506 650_0 $$aMultiagent systems.
001442506 650_6 $$aSystèmes multiagents (Intelligence artificielle)
001442506 655_0 $$aElectronic books.
001442506 77608 $$iPrint version:$$z3030868923$$z9783030868925$$w(OCoLC)1263864901
001442506 830_0 $$aStudies in systems, decision and control ;$$vv. 397.$$x2198-4190
001442506 852__ $$bebk
001442506 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-86893-2$$zOnline Access$$91397441.1
001442506 909CO $$ooai:library.usi.edu:1442506$$pGLOBAL_SET
001442506 980__ $$aBIB
001442506 980__ $$aEBOOK
001442506 982__ $$aEbook
001442506 983__ $$aOnline
001442506 994__ $$a92$$bISE