Cooperative Control of Distributed Multi-Agent Systems

• Year: 2007
• Tongue: English
• Leaves: 433
• Category: Library

✦ Synopsis

The paradigm of ‘multi-agent’ cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the “dimensions” of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control.

Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control.

Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.Content:
Chapter 1 Dimensions of Cooperative Control (pages 1–18): Jeff S. Shamma and Gurdal Arslan
Chapter 2 Design of Behavior of Swarms: From Flocking to Data Fusion using Microfilter Networks (pages 19–41): Reza Olfati?Saber
Chapter 3 Connectivity and Convergence of Formations (pages 43–61): Sonja Glavaski, Anca Williams and Tariq Samad
Chapter 4 Distributed Receding Horizon Control: Stability via Move Suppression (pages 63–77): William B. Dunbar
Chapter 5 Distributed Predictive Control: Synthesis, Stability and Feasibility (pages 79–108): Tamas Keviczky, Francesco Borrelli and Gary J. Balas
Chapter 6 Task Assignment for Mobile Agents (pages 109–138): Brandon J. Moore and Kevin M. Passino
Chapter 7 On the Value of Information in Dynamic Multiple?Vehicle Routing Problems (pages 139–176): Alessandro Arsie, John J. Enright and Emilio Frazzoli
Chapter 8 Optimal Agent Cooperation with Local Information (pages 177–211): Eric Feron and Jan DeMot
Chapter 9 Multiagent Cooperation through Egocentric Modeling (pages 213–229): Vincent Pei?wen Seah and Jeff S. Shamma
Chapter 10 Multi?Vehicle Cooperative Control Using Mixed Integer Linear Programming (pages 231–259): Matthew G. Earl and Raffaello D'Andrea
Chapter 11 LP?Based Multi?Vehicle Path Planning with Adversaries (pages 261–279): Georgios C. Chasparis and Jeff S. Shamma
Chapter 12 Characterization of LQG Differential Games with Different Information Patterns (pages 281–301): Ashitosh Swarup and Jason L. Speyer
Chapter 13 Modal Estimation of Jump Linear Systems: An Information Theoretic Viewpoint (pages 303–321): Nuno C. Martins and Munther A. Dahleh
Chapter 14 Conditionally?Linear Filtering for Mode Estimation in Jump?Linear Systems (pages 323–358): Daniel Choukroun and Jason L. Speyer
Chapter 15 Cohesion of Languages in Grammar Networks (pages 359–375): Y. Lee, T. C. Collier, C. E. Taylor and E. P. Stabler
Chapter 16 Complexity Management in the State Estimation of Multi?Agent Systems (pages 377–407): Domitilla Del Vecchio and Richard M. Murray
Chapter 17 Abstraction?Based Command and Control with Patch Models (pages 409–432): V. G. Rao, S. Goldfarb and R. D'Andrea