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010   $a3-319-41594-8
024 7 $a10.1007/978-3-319-41594-9
035   $a(CKB)3710000000974317
035   $a(DE-He213)978-3-319-41594-9
035   $a(MiAaPQ)EBC4770136
035   $a(PPN)197457142
035   $a(EXLCZ)993710000000974317
100   $a20161214d2016      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aContinuum Deformation of Multi-Agent Systems /$fby Hossein Rastgoftar
205   $a1st ed. 2016.
210  1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2016.
215   $a1 online resource (XIII, 217 p. 136 illus., 99 illus. in color.) 
311   $a3-319-41593-X 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- Homogeneous Deformation without Inter-Agent Communication -- Homogeneous Deformation under Local Control -- Higher Order Dynamics for MAS Evolution as Continuum Deformation -- Alignment as Biological Inspiration for Control of Multi-Agent Systems -- Deployment of a Multi-Agent System on a Desired Formation -- Appendix A: Kinematics of a Continuum -- Appendix B: Notions of Graph Theory.
330   $aThis monograph presents new algorithms for formation control of multi-agent systems (MAS) based on principles of continuum mechanics. Beginning with an overview of traditional methods, the author then introduces an innovative new approach whereby agents of an MAS are considered as particles in a continuum evolving in ?n whose desired configuration is required to satisfy an admissible deformation function. The necessary theory and its validation on a mobile-agent-based swarm test bed are considered for two primary tasks: homogeneous transformation of the MAS and deployment of a random distribution of agents on a desired configuration. The framework for this model is based on homogeneous transformations for the evolution of an MAS under no inter-agent communication, local inter-agent communication, and intelligent perception by agents. Different communication protocols for MAS evolution, the robustness of tracking of a desired motion by an MAS evolving in ?n, and the effect of communication delays in an MAS evolving under consensus algorithms or homogeneous maps are also explored. Featuring appendices which introduce the requisite concepts from continuum kinematics and graph theory, this monograph will provide advanced graduate students and researchers with the necessary background to understand and apply the methods presented.
606   $aSystem theory
606   $aControl engineering
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
615  0$aSystem theory.
615  0$aControl engineering.
615 14$aSystems Theory, Control.
615 24$aControl and Systems Theory.
676   $a519
700   $aRastgoftar$b Hossein$4aut$4http://id.loc.gov/vocabulary/relators/aut$0755872
906   $aBOOK
912   $a9910155316503321
996   $aContinuum deformation of multi-agent systems$91523245
997   $aUNINA