Cooperative Control of Distributed Multi-Agent Systems
1. Edition December 2007
452 Pages, Hardcover
Wiley & Sons Ltd
Short Description
Presenting the latest research into this new branch of control engineering, Cooperative Control presents the results of a "MURI" (Multidisciplinary University Research Initiative) projects on the topic. The material is organized under four broad themes, or dimensions of cooperative control: Distributed control and computation; adversarial interactions; uncertain evolution; and complexity management.
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.
1 Dimensions of cooperative control
Jeff S. Shamma and Gurdal Arslan
Acknowledgements
References
Part II Distributed Control and Computation
2 Design of behavior of swarms: From flocking to data fusion using microfilter
networks
Reza Olfati-Saber
Acknowledgements
References
3 Connectivity and convergence of formations
Sonja GlavaÇski, Anca Williams and Tariq Samad
Acknowledgements
References
4 Distributed receding horizon control: stability via move suppression
William B. Dunbar
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References
5 Distributed predictive control: synthesis, stability and feasibility
Tam´as Keviczky, Francesco Borrelli and Gary J. Balas
References
6 Task assignment for mobile agents
Brandon J. Moore and Kevin M. Passino
Acknowledgements
References
7 On the value of information in dynamic multiple-vehicle routing
problems
Alessandro Arsie, John J. Enright and Emilio Frazzoli
References
8 Optimal agent cooperation with local information
Eric Feron and Jan DeMot
Acknowledgements
References
9 Multiagent cooperation through egocentric modeling
Vincent Pei-wen Seah and Jeff S. Shamma
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References
Part III Adversarial Interactions
10 Multi-vehicle cooperative control using mixed integer linear
programming
Matthew G. Earl and Raffaello D'Andrea
Acknowledgements
References
11 LP-based multi-vehicle path planning with adversaries
Georgios C. Chasparis and Jeff S. Shamma
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References
12 Characterization of LQG differential games with different
information patterns
Ashitosh Swarup and Jason L. Speyer
Acknowledgements
References
Part IV Uncertain Evolution
13 Modal estimation of jump linear systems: an information theoretic
viewpoint
Nuno C. Martins and Munther A. Dahleh
Acknowledgements
References
14 Conditionally-linear filtering for mode estimation in jump-linear systems
Daniel Choukroun and Jason L. Speyer
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References
15 Cohesion of languages in grammar networks
Y. Lee, T.C. Collier, C.E. Taylor and E.P. Stabler
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References
Part V Complexity Management
16 Complexity management in the state estimation of multi-agent systems
Domitilla Del Vecchio and Richard M. Murray
Acknowledgements
References
17 Abstraction-based command and control with patch models
V. G. Rao, S. Goldfarb and R. D'Andrea
References
Index