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010   $a3-319-19072-5
024 7 $a10.1007/978-3-319-19072-3
035   $a(CKB)3710000000434106
035   $a(EBL)2095436
035   $a(SSID)ssj0001524865
035   $a(PQKBManifestationID)11867435
035   $a(PQKBTitleCode)TC0001524865
035   $a(PQKBWorkID)11486602
035   $a(PQKB)10868022
035   $a(DE-He213)978-3-319-19072-3
035   $a(MiAaPQ)EBC2095436
035   $a(PPN)186397097
035   $a(EXLCZ)993710000000434106
100   $a20150611d2015      u|         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aDistributed Optimization-Based Control of Multi-Agent Networks in Complex Environments /$fby Minghui Zhu, Sonia Martínez
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (133 p.)
225 1 $aSpringerBriefs in Control, Automation and Robotics,$x2192-6786
300   $aDescription based upon print version of record.
311   $a3-319-19071-7 
320   $aIncludes bibliographical references and index.
327   $a1. Preliminaries -- 2. Distributed Cooperative Optimization -- 3. Game Theoretic Optimal Sensor Deployment -- 4. Distributed Resilient Formation Control -- Index -- References.
330   $aThis book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ideas and tools from dynamic systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such complexities in the environment as topological dynamics, environmental uncertainties, and potential cyber-attack by human adversaries. The book is written for first- or second-year graduate students in a variety of engineering disciplines, including control, robotics, decision-making, optimization and algorithms and with backgrounds in aerospace engineering, computer science, electrical engineering, mechanical engineering and operations research. Researchers in these areas may also find the book useful as a reference.
410  0$aSpringerBriefs in Control, Automation and Robotics,$x2192-6786
606   $aAutomatic control
606   $aCalculus of variations
606   $aRobotics
606   $aAutomation
606   $aSystem theory
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aCalculus of Variations and Optimal Control; Optimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26016
606   $aRobotics and Automation$3https://scigraph.springernature.com/ontologies/product-market-codes/T19020
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
615  0$aAutomatic control.
615  0$aCalculus of variations.
615  0$aRobotics.
615  0$aAutomation.
615  0$aSystem theory.
615 14$aControl and Systems Theory.
615 24$aCalculus of Variations and Optimal Control; Optimization.
615 24$aRobotics and Automation.
615 24$aSystems Theory, Control.
676   $a515.64
676   $a519
676   $a620
676   $a629.8
676   $a629.892
700   $aZhu$b Minghui$4aut$4http://id.loc.gov/vocabulary/relators/aut$0720688
702   $aMartínez$b Sonia$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910299837503321
996   $aDistributed Optimization-Based Control of Multi-Agent Networks in Complex Environments$92525403
997   $aUNINA