Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments - Zhu, Minghui; Martínez, Sonia; - Prospero Internet Bookshop

Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments
 
Product details:

ISBN13:9783319190716
ISBN10:3319190717
Binding:Paperback
No. of pages:124 pages
Size:235x155 mm
Weight:2488 g
Language:English
Illustrations: 1 Illustrations, black & white; 23 Illustrations, color
0
Category:

Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

 
Edition number: 2015
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:

Publisher's listprice:
EUR 53.49
Estimated price in HUF:
23 252 HUF (22 144 HUF + 5% VAT)
Why estimated?
 
Your price:

21 391 (20 372 HUF + 5% VAT )
discount is: 8% (approx 1 860 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:

Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
  Piece(s)

 
Long description:

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.

Table of Contents:

1. Preliminaries.- 2. Distributed Cooperative Optimization.- 3. Game Theoretic Optimal Sensor Deployment.- 4. Distributed Resilient Formation Control.- Index.- References.