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Cooperative Systems

Control and Optimization

  • Book
  • © 2007

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Editors:
  1. Don Grundel

    1. AAC/ENA, Eglin AFB, USA

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  2. Robert Murphey

    1. Guidance, Navigation and Controls Branch Munitions Directorate, Eglin AFB, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Panos Pardalos

    1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  4. Oleg Prokopyev

    1. Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Economics and Mathematical Systems (LNE, volume 588)

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Table of contents (23 chapters)

  1. Front Matter

    Pages I-IX
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  2. Optimally Greedy Control of Team Dispatching Systems

    • Venkatesh G. Rao, Pierre T. Kabamba
    Pages 1-19

  3. Heuristics for Designing the Control of a UAV Fleet With Model Checking

    • Christopher A. Bohn
    Pages 21-36

  4. Unmanned Helicopter Formation Flight Experiment for the Study of Mesh Stability

    • Elaine Shaw, Hoam Chung, J. Karl Hedrick, Shankar Sastry
    Pages 37-56

  5. Cooperative Estimation Algorithms Using TDOA Measurements

    • Kenneth A. Fisher, John F. Raquet, Meir Pachter
    Pages 57-66

  6. A Comparative Study of Target Localization Methods for Large GDOP

    • Harold D. Gilbert, Daniel J. Pack, Jeffrey S. McGuirk
    Pages 67-78

  7. Leaderless Cooperative Formation Control of Autonomous Mobile Robots Under Limited Communication Range Constraints

    • Zhihua Qu, Jing Wang, Richard A. Hull
    Pages 79-104

  8. Alternative Control Methodologies for Patrolling Assets With Unmanned Air Vehicles

    • Kendall E. Nygard, Karl Altenburg, Jingpeng Tang, Doug Schesvold, Jonathan Pikalek, Michael Hennebry
    Pages 105-115

  9. A Grammatical Approach to Cooperative Control

    • John-Michael McNew, Eric Klavins
    Pages 117-138

  10. A Distributed System for Collaboration and Control of UAV Groups: Experiments and Analysis

    • Mark F. Godwin, Stephen C. Spry, J. Karl Hedrick
    Pages 139-156

  11. Consensus Variable Approach to Decentralized Adaptive Scheduling

    • Kevin L. Moore, Dennis Lucarelli
    Pages 157-169

  12. A Markov Chain Approach to Analysis of Cooperation in Multi-Agent Search Missions

    • David E. Jeffcoat, Pavlo A. Krokhmal, Olesya I. Zhupanska
    Pages 171-184

  13. A Markov Analysis of the Cueing Capability/Detection Rate Trade-space in Search and Rescue

    • Alice M. Alexander, David E. Jeffcoat
    Pages 185-196

  14. Challenges in Building Very Large Teams

    • Paul Scerri, Yang Xu, Jumpol Polvichai, Bin Yu, Steven Okamoto, Mike Lewis et al.
    Pages 197-228

  15. Model Predictive Path-Space Iteration for Multi-Robot Coordination

    • Omar A. A. Orqueda, Rafael Fierro
    Pages 229-253

  16. Path Planning for a Collection of Vehicles With Yaw Rate Constraints

    • Sivakumar Rathinam, Raja Sengupta, Swaroop Darbha
    Pages 255-268

  17. Estimating the Probability Distributions of Alloy Impact Toughness: a Constrained Quantile Regression Approach

    • Alexandr Golodnikov, Yevgeny Macheret, A. Alexandre Trindade, Stan Uryasev, Grigoriy Zrazhevsky
    Pages 269-283

  18. A One-Pass Heuristic for Cooperative Communication in Mobile Ad Hoc Networks

    • Clayton W. Commander, Carlos A. S. Oliveira, Panos M. Pardalos, Mauricio G. C. Resende
    Pages 285-296

  19. Mathematical Modeling and Optimization of Superconducting Sensors with Magnetic Levitation

    • Vitaliy A. Yatsenko, Panos M. Pardalos
    Pages 297-316

  20. Stochastic Optimization and Worst-case Decisions

    • Nalan Gülpinar, Berç Rustem, Stanislav Žaković
    Pages 317-338
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Keywords

About this book

Cooperative systems are pervasive in a multitude of environments and at all levels. We find them at the microscopic biological level up to complex ecological structures. They are found in single organisms and they exist in large sociological organizations. Cooperative systems can be found in machine applications and in situations involving man and machine working together.

They have some common elements: 1) more than one entity, 2) the entities have behaviors that influence the decision space, 3) entities share at least one common objective, and 4) entities share information whether actively or passively.

Because of the clearly important role cooperative systems play in areas such as military sciences, biology, communications, robotics, and economics, just to name a few, the study of cooperative systems has intensified. This book provides an insight in the basic understanding of cooperative systems as well as in theory, modeling, and applications of cooperative control, optimization and related problems.

Editors and Affiliations

  • AAC/ENA, Eglin AFB, USA

    Don Grundel

  • Guidance, Navigation and Controls Branch Munitions Directorate, Eglin AFB, USA

    Robert Murphey

  • Department of Industrial and Systems Engineering, University of Florida, Gainesville, USA

    Panos Pardalos

  • Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, USA

    Oleg Prokopyev

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