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| 003 | ES-MaUEC | ||
| 005 | 20230102121352.0 | ||
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| 008 | 210706s2021 si | o |||| 0|eng d | ||
| 020 | _a9789811615061 | ||
| 024 | 7 |
_a10.1007/978-981-16-1506-1 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK5105.5 _b2021 EB |
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| 100 | 1 |
_aLu, Jianquan _eautor _9680676 |
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| 245 | 1 | 0 |
_aCollective Behavior in Complex Networked Systems under Imperfect Communication _cby Jianquan Lu, Lulu Li, Daniel W.C. Ho, Jinde Cao |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publising _c2021 |
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| 300 |
_a1 recurso en línea (XIV, 269 páginas) _b103 ilustraciones, 54 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 | _aComputer Science (SpringerNature-11645) | |
| 490 | 0 | _aComputer Science (R0) (SpringerNature-43710) | |
| 505 | 0 | _aIntroduction -- Consensus over Directed Static Networks with Arbitrary Finite Communication Delays -- Practical Consensus of Multi-agent Networks -- Multi-agent Consensus with Quantization and Communication Delays -- Event-based Network Consensus with Communication Delays -- Consensus of Networked Multi-agent Systems with Antagonistic Interactions and Communication Delays -- Finite-time and Fixed-time Bipartite Consensus for Multi-agent Systems with Antagonistic Interactions -- Globally Exponential Synchronization and Synchronizability for General Dynamical Networks -- Pinning Cluster Synchronization in an Array of Coupled Neural Networks under Event-based Mechanism -- Multi-agent Consensus Recovery Approach under Node Failure -- Conclusion and Future Work. | |
| 520 | 3 | _aThis book aims to explain how collective behavior is formed via local interactions under imperfect communication in complex networked systems. It also presents some new distributed protocols or algorithms for complex networked systems to comply with bandwidth limitation and tolerate communication delays. This book will be of particular interest to the readers due to the benefits: 1) it studies the effect of time delay and quantization on the collective behavior by non-smooth analytical technique and algebraic graph theory; 2) it introduces the event-based consensus method under delayed information transmission; In the meantime, it presents some novel approaches to handle the communication constraints in networked systems; 3) it gives some synchronization and control strategies for complex networked systems with limited communication abilities. Furthermore, it provides a consensus recovery approach for multi-agent systems with node failure. Also, it presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions. | |
| 988 | _aSpringer_Computer_2021 | ||
| 650 | 7 |
_2embne _aRedes informáticas _9141354 |
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| 650 | 7 |
_2embne _9667894 _aSistemas multiagente |
|
| 700 | 1 |
_aLi, Lulu _eautor |
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| 700 | 1 |
_aHo, Daniel W.C _eautor |
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| 700 | 1 |
_aCao, Jinde _eautor |
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| 776 | 0 | 8 |
_iPrinted edition: _z9789811615054 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811615078 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811615085 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1506-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2022 _dz _eu _zSI |
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