Theory and algorithms for cooperative systems / editors, Don Grundel, Robert Murphey, Panos M. Pardalos.

Papers presented at the Fourth Annual Conference on Cooperative Control and Optimization, held in Destin, Florida, November 2003.

Includes bibliographical references.

Print version record.

Preface ; 1 Mesh Stability in Formation of Distributed Systems ; 1 Introduction ; 2 String Stability of an Interconnection ; 3 Decomposition Technique ; 4 Spatial and Temporal Coordinations ; 5 System of Lyapunov Systems ; 6 Illustration ; 7 Conclusions and Future Work

1 Introduction 2 The Algorithm ; 3 Design of Experiments ; 4 Results ; 5 Conclusions ; 6 Future Work ; References ; 4 On the Performance of Heuristics for Broadcast Scheduling ; 1 Introduction ; 2 The Broadcast Scheduling Problem ; 3 Heuristics ; 4 Computational Results

5 Conclusion References ; 5 Natural Language Processing in Control of Unmanned Aerial Vehicles ; 1 Introduction ; 2 Overview of Example Implementation ; 3 Detailed Description ; 4 Results ; 5 Future Work ; References ; Appendix: Examples of Parsed Outputs

6 Lyapunov-Based Partial Stabilization of a Nonholonomic UAV Model With Polytopic Input Constraints 1 Introduction ; 2 Control Lyapunov Functions ; 3 Removing Redundancy and Vertex Enumeration ; 4 Parameterizing S ; 5 Optimizing the Weighting Vector ; 6 Unicycle Model System

Over the past several years, cooperative control and optimization have increasingly played a larger and more important role in many aspects of military sciences, biology, communications, robotics, and decision making. At the same time, cooperative systems are notoriously difficult to model, analyze, and solve - while intuitively understood, they are not axiomatically defined in any commonly accepted manner. The works in this volume provide outstanding insights into this very complex area of research. They are the result of invited papers and selected presentations at the <i>Fourth Annual Conf.

English.

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