Cooperative Control of Distributed Multi-Agent Systems (eBook, PDF)

Redaktion: Shamma, Jeff

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 452
• Erscheinungstermin: 2. August 2008
• Englisch
• ISBN-13: 9780470724194
• Artikelnr.: 37298905

Autorenporträt

Jeff Shamma's research interest is feedback control and systems theory. He received a Ph.D. in Systems Science and Engineering in 1988 from the Massachusetts Institute of Technology, Department of Mechanical Engineering. His previous faculty positions have included the University of Minnesota, Minneapolis, and the University of Texas, Austin. Since 1999, he has been with UCLA, where he is currently a Professor of Mechanical and Aerospace Engineering. He served as the MAE Department Vice Chair for Graduate Affairs from 2000-2002. Jeff Shamma is also the recipient of the NSF Young Investigator Award (1992), a recipient of the American Automatic Control Council Donald P. Eckman Award (1996), a past Plenary Speaker at the American Control Conference (1998), and a Fellow of the IEEE (2006). He has served on the editorial boards of the IEEE Transactions on Automatic Control and Systems & Control Letters.

Inhaltsangabe

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 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 Acknowledgements
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 Acknowledgements 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 Acknowledgements 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
Acknowledgements References 15 Cohesion of languages in grammar networks Y.
Lee, T.C. Collier, C.E. Taylor and E.P. Stabler Acknowledgements 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