LEADER 03395nam  22006255  450 
001 9911015858403321
005 20250702130353.0
010   $a981-9660-15-7
024 7 $a10.1007/978-981-96-6015-5
035   $a(MiAaPQ)EBC32189506
035   $a(Au-PeEL)EBL32189506
035   $a(CKB)39567917100041
035   $a(OCoLC)1526860273
035   $a(DE-He213)978-981-96-6015-5
035   $a(EXLCZ)9939567917100041
100   $a20250702d2025      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aDistributed Localization and Formation Control of Multi-Agent Systems with Local Sensing Information /$fby Yunkai Lv, Huaicheng Yan, Hao Zhang, Meng Wang, Zhichen Li
205   $a1st ed. 2025.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2025.
215   $a1 online resource (0 pages)
311 08$a981-9660-14-9 
327   $aIntroduction -- Distributed localisation for MASs under barycentric coordinate representation -- Distributed localization of MASs with imperfect channel -- Distributed localization of MASs with random noise -- Distributed localization of MASs with randomly varying trajectory lengths -- Data-driven adaptive distributed localization of MASs with sensor failure -- Distributed sensor network localization based on local bearing measurement -- Local-bearing-based prescribed-time localization of MASs with noisy measurement -- Integration of distributed localization and formation of MAS.
330   $aThis book mainly focuses on the key technologies and important issues related to localization estimation and formation control for networked multi-agent systems. Chapter 1 introduces the concepts of multi-agent systems, fundamental issues in localization and formation, research progress both at home and abroad, and the theory of system stability. Chapters 2?8 present research results on distributed localization estimation under conditions such as random deployment, non-ideal channels, random noise, varying-trajectory length, sensor multiplicative failure, and local bearing measurement. Chapter 9 focuses on integrated research progress in localization estimation and formation control for multi-agent systems under local perception conditions. The book demonstrates the effectiveness and superiority of the theoretical methods through simulation and physical examples.
606   $aAutomatic control
606   $aRobotics
606   $aAutomation
606   $aSystem theory
606   $aControl theory
606   $aControl, Robotics, Automation
606   $aSystems Theory, Control
615  0$aAutomatic control.
615  0$aRobotics.
615  0$aAutomation.
615  0$aSystem theory.
615  0$aControl theory.
615 14$aControl, Robotics, Automation.
615 24$aSystems Theory, Control.
676   $a629.8
700   $aLv$b Yunkai$01834089
701   $aYan$b Huaicheng$01834090
701   $aZhang$b Hao$01058046
701   $aWang$b Meng$0636116
701   $aLi$b Zhichen$01834091
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911015858403321
996   $aDistributed Localization and Formation Control of Multi-Agent Systems with Local Sensing Information$94409179
997   $aUNINA