Theory And Algorithms For Cooperative Systems

By: Don Grundel (Editor), Robert Murphey (Editor), Panos M Pardalos (Editor)

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Hardcover | 25 August 2004

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Hardcover
604 Pages

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22.86 x 15.88 x 3.18

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Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve - while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the Fourth Annual Conference on Cooperative Control and Optimization held in Destin, Florida, November 2003.

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You Can Find This Book In

Non-Fiction Mathematics Algebra Computing & I.T.Computer Science Artificial Intelligence Engineering & Technology Technology in General Engineering in General Graphical & Digital Media Applications 3D Graphics & Modelling Computer Programming & Software Development

Algorithms & Data Structures Computer Architecture & Logic Design Parallel Processing Booktopia Publisher Services World Scientific Publishing

Mesh stability in formation of distributed systems	p. 1
Designing the control of a UAV fleet with model checking	p. 27
Applying simulated annealing to the MAP	p. 45
On the performance of heuristics for broadcast scheduling	p. 63
Natural language processing in control of unmanned aerial vehicles	p. 81
Lyapunov-based partial stabilization of a nonholonomic UAV model with polytopic input constraints	p. 101
Cooperative optimization for solving large scale combinatorial problems	p. 117
Coupled detection rates : an introduction	p. 157
Decentralized receding horizon control for multiple UAVs	p. 169
A stable and efficient scheme for task allocation via agent coalition formation	p. 193
Cohesive behaviors of multiple cooperative mobile discrete-time agents in a noisy environment	p. 213
Multitarget sensor management of dispersed mobile sensors	p. 239
Communication requirements in the cooperative control of wide area search munitions using iterative network flow	p. 311
A decentralized swarm approach to asset patrolling with unmanned air vehicles	p. 327
K-means clustering using entropy minimization	p. 339
Integer formulations for the message scheduling problem on controller area networks	p. 353
Multiple radare phantom tracks from cooperating vehicles using range-delay deception	p. 367
Possibility reasoning and the cooperative prisoner's dilemma	p. 391
The group assignment problem arising in multiple target tracking	p. 423
Coordinating very large groups of wide area search munitions	p. 451
Cooperative control simulation validation using applied probability theory	p. 481
Cooperative control of multiple UAV's in close formation flight via nonlinear adaptive approach	p. 499
A vehicle following methodology for UAV formations	p. 513
Coordinated UAV target assignment using distributed tour calculation	p. 535
Decentralized optimization via Nash bargaining	p. 565
Table of Contents provided by Blackwell. All Rights Reserved.

Theory And Algorithms For Cooperative Systems

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Hardcover

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