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John Wiley & Sons Cooperative Control of Distributed Multi-Agent Systems Cover Presenting the latest research into this new branch of control engineering, Cooperative Control pres.. Product #: 978-0-470-06031-5 Regular price: $179.44 $179.44 Auf Lager

Cooperative Control of Distributed Multi-Agent Systems

Shamma, Jeff (Herausgeber)

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1. Auflage Dezember 2007
452 Seiten, Hardcover
Wiley & Sons Ltd

Kurzbeschreibung

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.

ISBN: 978-0-470-06031-5
John Wiley & Sons

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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.

Part I Introduction

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

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References

3 Connectivity and convergence of formations

Sonja GlavaÇski, Anca Williams and Tariq Samad

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4 Distributed receding horizon control: stability via move suppression

William B. Dunbar

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5 Distributed predictive control: synthesis, stability and feasibility

Tam´as Keviczky, Francesco Borrelli and Gary J. Balas

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6 Task assignment for mobile agents

Brandon J. Moore and Kevin M. Passino

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7 On the value of information in dynamic multiple-vehicle routing

problems

Alessandro Arsie, John J. Enright and Emilio Frazzoli

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8 Optimal agent cooperation with local information

Eric Feron and Jan DeMot

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9 Multiagent cooperation through egocentric modeling

Vincent Pei-wen Seah and Jeff S. Shamma

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Part III Adversarial Interactions

10 Multi-vehicle cooperative control using mixed integer linear

programming

Matthew G. Earl and Raffaello D'Andrea

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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

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References

Part IV Uncertain Evolution

13 Modal estimation of jump linear systems: an information theoretic

viewpoint

Nuno C. Martins and Munther A. Dahleh

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14 Conditionally-linear filtering for mode estimation in jump-linear systems

Daniel Choukroun and Jason L. Speyer

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15 Cohesion of languages in grammar networks

Y. Lee, T.C. Collier, C.E. Taylor and E.P. Stabler

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Part V Complexity Management

16 Complexity management in the state estimation of multi-agent systems

Domitilla Del Vecchio and Richard M. Murray

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17 Abstraction-based command and control with patch models

V. G. Rao, S. Goldfarb and R. D'Andrea

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Index