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Record Nr. |
UNINA9910299837503321 |
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Autore |
Zhu Minghui |
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Titolo |
Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments / / by Minghui Zhu, Sonia MartÃnez |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (133 p.) |
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Collana |
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SpringerBriefs in Control, Automation and Robotics, , 2192-6786 |
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Disciplina |
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515.64 |
519 |
620 |
629.8 |
629.892 |
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Soggetti |
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Automatic control |
Calculus of variations |
Robotics |
Automation |
System theory |
Control and Systems Theory |
Calculus of Variations and Optimal Control; Optimization |
Robotics and Automation |
Systems Theory, Control |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Preliminaries -- 2. Distributed Cooperative Optimization -- 3. Game Theoretic Optimal Sensor Deployment -- 4. Distributed Resilient Formation Control -- Index -- References. |
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Sommario/riassunto |
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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 |
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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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