Cooperative Control of Multi-Agent Systems Optimal and Adaptive Design Approaches / by Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das.

Task complexity, communication constraints, flexibility and energy-saving concerns are all factors that may require a group of autonomous agents to work together in a cooperative manner. Applications involving such complications include mobile robots, wireless sensor networks, unmanned aerial vehicl...

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Bibliographic Details
Main Authors: Lewis, Frank L. (Author), Zhang, Hongwei (Author), Hengster-Movric, Kristian (Author), Das, Abhijit (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Communications and Control Engineering,
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
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Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Introduction to Synchronization in Nature and Physics and Cooperative Control for Multi-agent Systems on Graphs
  • Algebraic Graph Theory and Cooperative Control Consensus
  • Part I Distributed Optimal Design for Cooperative Control in Multi-agent Systems on Graphs
  • Local Optimal Design for Cooperative Control in Multi-agent Systems on Graphs
  • Riccati Design for Synchronization of Discrete-Time Systems
  • Cooperative Globally Optimal Control for Multi-agent Systems on Directed Graph Topologies
  • Graphical Games: Distributed Multi-player Games on Graphs
  • Part II Distributed Adaptive Control for Multi-agent Cooperative Systems
  • Graph Laplacian Potential and Lyapunov Functions for Multi-agent Systems
  • Cooperative Adaptive Control for Systems with First-Order Nonlinear Dynamics
  • Cooperative Adaptive Control for Systems with Second-Order Nonlinear Dynamics
  • Cooperative Adaptive Control for Higher-Order Nonlinear Systems.