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Distributed optimization-based contr...
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Zhu, Minghui.
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Distributed optimization-based control of multi-agent networks in complex environments
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Distributed optimization-based control of multi-agent networks in complex environments/ by Minghui Zhu, Sonia Martinez.
Author:
Zhu, Minghui.
other author:
Martinez, Sonia.
Published:
Cham :Springer International Publishing : : 2015.,
Description:
xiii, 124 p. :ill., digital ;24 cm.
[NT 15003449]:
1. Preliminaries -- 2. Distributed Cooperative Optimization -- 3. Game Theoretic Optimal Sensor Deployment -- 4. Distributed Resilient Formation Control -- Index -- References.
Contained By:
Springer eBooks
Subject:
Multiagent systems. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-19072-3
ISBN:
9783319190723 (electronic bk.)
Distributed optimization-based control of multi-agent networks in complex environments
Zhu, Minghui.
Distributed optimization-based control of multi-agent networks in complex environments
[electronic resource] /by Minghui Zhu, Sonia Martinez. - Cham :Springer International Publishing :2015. - xiii, 124 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering. Control, automation and robotics,2191-8112. - SpringerBriefs in electrical and computer engineering. Control, automation and robotics..
1. Preliminaries -- 2. Distributed Cooperative Optimization -- 3. Game Theoretic Optimal Sensor Deployment -- 4. Distributed Resilient Formation Control -- Index -- References.
This 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.
ISBN: 9783319190723 (electronic bk.)
Standard No.: 10.1007/978-3-319-19072-3doiSubjects--Topical Terms:
1048048
Multiagent systems.
LC Class. No.: QA76.76.I58
Dewey Class. No.: 006.3
Distributed optimization-based control of multi-agent networks in complex environments
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This 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.
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Engineering (Springer-11647)
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EB QA76.76.I58 Z63 2015
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