Cooperative Systems

By: Sergiy Butenko (Editor), Robert Murphey (Editor), Panos M. Pardalos (Editor)

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Hardcover | 31 December 2003

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476 Pages

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23.5 x 15.88 x 2.54

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Over the past several years, cooperative control and optimization has un questionably been established as one of the most important areas of research in the military sciences. Even so, cooperative control and optimization tran scends the military in its scope -having become quite relevant to a broad class of systems with many exciting, commercial, applications. One reason for all the excitement is that research has been so incredibly diverse -spanning many scientific and engineering disciplines. This latest volume in the Cooperative Systems book series clearly illustrates this trend towards diversity and creative thought. And no wonder, cooperative systems are among the hardest systems control science has endeavored to study, hence creative approaches to model ing, analysis, and synthesis are a must! The definition of cooperation itself is a slippery issue. As you will see in this and previous volumes, cooperation has been cast into many different roles and therefore has assumed many diverse meanings. Perhaps the most we can say which unites these disparate concepts is that cooperation (1) requires more than one entity, (2) the entities must have some dynamic behavior that influences the decision space, (3) the entities share at least one common objective, and (4) entities are able to share information about themselves and their environment. Optimization and control have long been active fields of research in engi neering.

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Published: 17th September 2011

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Preface
A Hybrid Projected Gradient-Evolutionary Search Algorithm for Capacitated Multi-Source Multi-UAVs Scheduling with Time Windows	p. 1
Progress in Cooperative Volume Holographic Imaging	p. 23
Properties of No-Depot Min-Max 2-Traveling-Salesmen Problem	p. 45
A New Heuristic for the Minimum Connected Dominating Set Problem on Ad Hoc Wireless Networks	p. 61
A Platform for Cooperative and Coordinated Control of Multiple Vehicles: The Caltech Multi-Vehicle Wireless Testbed	p. 75
Churning: Repeated Optimization and Cooperative Instability	p. 105
A Hospitability Map Approach for Estimating a Mobile Targets Location	p. 117
Information Theoretic Organization Principles for Autonomous Multiple Agents	p. 125
Distributed Agreement Strategies for Cooperative Control: Modeling and Scalability Analysis	p. 145
An Integer Programming Model for Assigning Unmanned Air Vehicles to Tasks	p. 167
A Theoretical Foundation for Cooperative Search, Classification, and Target Attack	p. 175
Cooperative Real-Time Task Allocation Among Groups of UAVs	p. 207
Use of Conditional Value-at-Risk in Stochastic Programs with Poorly Defined Distributions	p. 225
Sensitivity Analysis of Partially Deployed Slowdown Warning Mechanisms for Vehicle Platoons	p. 243
Multi-Target Assignment and Path Planning for Groups of UAVs	p. 261
Objective Functions for Bayesian Control-Theoretic Sensor Management, II: MHC-Like Approximation	p. 273
Tracking Environmental Level Sets with Autonomous Vehicles	p. 317
Cyclic Linearization and Decomposition of Team Game Models	p. 333
Optimal Path Planning in a Threat Environment	p. 349
Nonlinear Dynamics of Sea Clutters and Detection of Small Targets	p. 407
Tree-Based Algorithms for the Multidimensional Assignment Problem	p. 427
Predicting Pop Up Threats From An Adaptive Markov Model	p. 449
Table of Contents provided by Blackwell. All Rights Reserved.

Cooperative Systems

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