Recent Developments in Cooperative Control and Optimization

1. Front Matter

   Pages i-xiv

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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

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.

• 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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