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Zhu, Minghui; Martinez, Sonia - Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments - 9783319190716 - V9783319190716
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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

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Description for Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments paperback. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 137 pages, 1 black & white illustrations, 23 colour illustrations, biography. BIC Classification: GPFC; PBKQ; PBU; TJFM1. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 8. Weight in Grams: 270.

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 ... Read more

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Product Details

Format
Paperback
Publication date
2015
Publisher
Springer Switzerland
Number of pages
137
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
124
Place of Publication
Cham, Switzerland
ISBN
9783319190716
SKU
V9783319190716
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About Zhu, Minghui; Martinez, Sonia
Minghui Zhu is the Dorothy Quiggle Assistant Professor in the Department of Electrical Engineering at the Pennsylvania State University. Prior to that, he was a postdoctoral associate in the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. He received Ph.D. in Engineering Science (Mechanical Engineering) from the University of California, San Diego in 2011. His research ... Read more

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