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008			211023s2022 sz | s |||| 0|eng d
020			_a9783030868932
024	7		_a10.1007/978-3-030-86893-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.76 .I58 _b2022 EB
100	1		_aWang, Jing _eautor _9670340
245	1	0	_aEmergent Behavior Detection and Task Coordination for Multiagent Systems : _bA Distributed Estimation and Control Approach _cby Jing Wang
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 235 páginas) _b112 ilustraciones, 110 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aStudies in Systems Decision and Control _x2198-4190 _v397
505	0		_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.
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.
988			_aSpringer_Robotics_2022
650		7	_2embne _9667894 _aSistemas multiagente
776	0	8	_iPrinted edition: _z9783030868925
776	0	8	_iPrinted edition: _z9783030868949
776	0	8	_iPrinted edition: _z9783030868956
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-86893-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2023 _dz _eu _zSI