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020 _a9783030395360
024 7 _a10.1007/978-3-030-39536-0
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
041 0 _aeng
050 4 _aTJ213
_b2020 EB
100 1 _aChen, Fei
_eautor
_9672574
245 0 0 _aDistributed Average Tracking in Multi-agent Systems
_cby Fei Chen, Wei Ren
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint Springer
_c2020
300 _a1 recurso en línea (XIX, 231 páginas)
_b 46 ilustraciones, 41 ilustraciones a color.
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aIntelligent Technologies and Robotics (Springer-42732)
505 0 _aChapter 1. Overview of Distributed Average Tracking -- Chapter 2. Preliminaries -- Chapter 3. Distributed Average Tracking via Nonsmooth Feedback -- Chapter 4. Distributed Average Tracking via an Extended PI Scheme -- Chapter 5. Distributed Average Tracking for Double-Integrator Dynamics -- Chapter 6. Distributed Average Tracking for General Linear Dynamics -- Chapter 7. Distributed Average Tracking for Euler-Lagrange Dynamics -- Chapter 8. Distributed Average Tracking with Input Saturation.
520 3 _aThis book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track - using local communication only - the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking: algorithm design via nonsmooth and extended PI control; distributed average tracking for double-integrator, general-linear, Euler-Lagrange, and input-saturated dynamics; and applications in dynamic region-following formation control and distributed convex optimization. The book presents both the theory and applications in a general but self-contained manner, making it easy to follow for newcomers to the topic. The content presented fosters research advances in distributed average tracking and inspires future research directions in the field in academia and industry.
988 _aPrimersemestre_2020_Robotics
650 7 _2embne
_aControl automático
_9405125
650 7 _2embne
_aSistemas, Teoría de
_9141328
700 1 _aRen, Wei
_eautor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030395353
776 0 8 _iPrinted edition:
_z9783030395377
776 0 8 _iPrinted edition:
_z9783030395384
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-39536-0
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
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998 _b03/2020
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