Cooperative Control and Optimization

1. Front Matter

   Pages i-xii

   PDF

2. Cooperative Control for Target Classification

   • P. R. Chandler, M. Pachter, Kendall E. Nygard, Dharba Swaroop

   Pages 1-19

3. Guillotine Cut in Approximation Algorithms

   • Xiuzhen Cheng, Ding-Zhu Du, Joon-Mo Kim, Hung Quang Ngo

   Pages 21-34

4. Unmanned Aerial Vehicles: Autonomous Control Challenges, A Researcher’s Perspective

   • Bruce T. Clough

   Pages 35-52

5. Using Grasp for Choosing Best Periodic Observation Strategy in Stochastic Systems Filtering

   • Paola Festa, Giancarlo Raiconi

   Pages 55-72

6. Cooperative Control of Robot Formations

   • Rafael Fierro, Peng Song, Aveek Das, Vijay Kumar

   Pages 73-93

7. Cooperative Behavior Schemes for Improving The Effectiveness of Autonomous Wide Area Search Munitions

   • Daniel P. Gillen, David R. Jacques

   Pages 95-120

8. On A General Framework To Study Cooperative Systems

   • Victor Korotkich

   Pages 121-142

9. Cooperative Multi-agent Constellation Formation Under Sensing and Communication Constraints

   • Lit-Hsin Loo, Erwei Lin, Moshe Kam, Pramod Varshney

   Pages 143-169

10. An Introduction to Collective and Cooperative Systems

    • Robert Murphey

    Pages 171-197

11. Cooperative Aircraft Control for Minimum Radar Exposure

    • Meir Pachter, Jeffrey Hebert

    Pages 199-211

12. Robust Recursive Bayesian Estimation and Quantum Minimax Strategies

    • P. Pardalos, V. Yatsenko, S. Butenko

    Pages 213-232

13. Cooperative Control for Autonomous Air Vehicles

    • Kevin Passino, Marios Polycarpou, David Jacques, Meir Pachter, Yang Liu, Yanli Yang et al.

    Pages 233-271

14. Optimal Risk Path Algorithms

    • Michael Zabarankin, Stanislav Uryasev, Panos Pardalos

    Pages 273-298

15. Back Matter

    Pages 299-307

    PDF

A cooperative system is defined to be multiple dynamic entities that share information or tasks to accomplish a common, though perhaps not singular, objective. Examples of cooperative control systems might include: robots operating within a manufacturing cell, unmanned aircraft in search and rescue operations or military surveillance and attack missions, arrays of micro satellites that form a distributed large aperture radar, employees operating within an organization, and software agents. The term entity is most often associated with vehicles capable of physical motion such as robots, automobiles, ships, and aircraft, but the definition extends to any entity concept that exhibits a time dependent behavior. Critical to cooperation is communication, which may be accomplished through active message passing or by passive observation. It is assumed that cooperation is being used to accomplish some common purpose that is greater than the purpose of each individual, but we recognize that the individual may have other objectives as well, perhaps due to being a member of other caucuses. This implies that cooperation may assume hierarchical forms as well. The decision-making processes (control) are typically thought to be distributed or decentralized to some degree. For if not, a cooperative system could always be modeled as a single entity. The level of cooperation may be indicated by the amount of information exchanged between entities. Cooperative systems may involve task sharing and can consist of heterogeneous entities. Mixed initiative systems are particularly interesting heterogeneous systems since they are composed of humans and machines. Finally, one is often interested in how cooperative systems perform under noisy or adversary conditions.
In December 2000, the Air Force Research Laboratory and the University of Florida successfully hosted the first Workshop on Cooperative Control and Optimization in Gainesville, Florida. This bookcontains selected refereed papers summarizing the participants' research in control and optimization of cooperative systems.
Audience: Faculty, graduate students, and researchers in optimization and control, computer sciences and engineering.

• Approximation
• algorithms
• classification
• communication
• computer
• computer science
• information
• manufacturing
• optimization
• system

• Air Force Research Laboratory, Eglin, USA

  Robert Murphey

• University of Florida, Gainesville, USA

  Panos M. Pardalos

Policies and ethics