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Recent Developments in Cooperative Control and Optimization

  • Book
  • © 2004

Overview

Editors:
  1. Sergiy Butenko

    1. Texas A&M University, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Robert Murphey

    1. Air Force Research Laboratory, Eglin, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Panos M. Pardalos

    1. University of Florida, Gainsville, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Cooperative Systems (COSY, volume 3)

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Table of contents (22 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. A Hybrid Projected Gradient-Evolutionary Search Algorithm for Capacitated Multi-Source Multiuavs Scheduling with Time Windows

    • Ali Ahmadzadeh, Bijan Sayyar-Roudsari, Abdollah Homaifar
    Pages 1-21

  3. Progress in Cooperative Volume Holographic Imaging

    • George Barbastathis, Arnab Sinha
    Pages 23-44

  4. Properties of No-Depot MIN-MAX 2-Traveling-Salesmen Problem

    • Vladimir Bugera
    Pages 45-59

  5. A New Heuristic for the Minimum Connected Dominating Set Problem on Ad Hoc Wireless Networks

    • Sergiy Butenko, Xiuzhen Cheng, Carlos A. Oliveira, P. M. Pardalos
    Pages 61-73

  6. A Platform for Cooperative and Coordinated Control of Multiple Vehicles

    • Timothy Chung, Lars Cremean, William B. Dunbar, Zhipu Jin, Eric Klavins, David Moore et al.
    Pages 75-104

  7. Churning: Repeated Optimization and Cooperative Instability

    • J. Willard Curtis
    Pages 105-116

  8. A Hospitability Map Approach for Estimating a Mobile Targets Location

    • Martin Eilders, Jeff Layne, Zaher M. Kassas, Umit Ozguner
    Pages 117-124

  9. Information Theoretic Organization Principles for Autonomous Multiple-Agents

    • Deniz Erdogmus, Jose C. Principe, Rajvignesh Thogulua
    Pages 125-143

  10. Distributed Agreement Strategies for Cooperative Control

    • Sriram Ganapathy, Kevin M. Passino
    Pages 145-165

  11. An Integer Programming Model for Assigning Unmanned Air Vehicles to Tasks

    • Michael J. Hennebry, Ahmed Kamel, Kendall E. Nygard
    Pages 167-173

  12. A Theoretical Foundation for Cooperative Search, Classification, and Target Attack

    • David R. Jacques, Meir Pachter
    Pages 175-205

  13. Cooperative Real-Time Task Allocation among Groups of UAVs

    • Yan Jin, Marios M. Polycarpou, Ali A. Minai
    Pages 207-224

  14. Use of Conditional Value-at-Risk in Stochastic Programs with Poorly Defined Distributions

    • Pavlo Krokhmal, Robert Murphey, Panos Pardalos, Stanislav Uryasev
    Pages 225-241

  15. Sensitivity Analysis of Partially Deployed Slowdown Warning Mechanisms for Vehicle Platoons

    • Vishwesh Kulkarni, Jan De Mot, Nicola Elia, Eric Feron, James Paduano
    Pages 243-259

  16. Multi-Target Assignment and Path Planning for Groups of UAVs

    • Theju Maddula, Ali A. Minai, Marios M. Polycarpou
    Pages 261-272

  17. Objective Functions for Bayesian Control-Theoretic Sensor Management, II: MНC-Like Approximation

    • Ronald Mahler
    Pages 273-316

  18. Tracking Environmental Level Sets with Autonomous Vehicles

    • Daniel Marthaler, Andrea L. Bertozzi
    Pages 317-332

  19. Cyclic Linearization and Decomposition of Team Game Models

    • Athanasios Migdalas
    Pages 333-348

  20. Optimal Path Planning in a Threat Environment

    • Rob Murphey, Stanislav Uryasev, Michael Zabarankin
    Pages 349-406
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About this book

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.

Editors and Affiliations

  • Texas A&M University, USA

    Sergiy Butenko

  • Air Force Research Laboratory, Eglin, USA

    Robert Murphey

  • University of Florida, Gainsville, USA

    Panos M. Pardalos

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