Overview
- Editors:
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Sergiy Butenko
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Texas A&M University, USA
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Robert Murphey
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Air Force Research Laboratory, Eglin, USA
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Panos M. Pardalos
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University of Florida, Gainsville, USA
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Table of contents (22 chapters)
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- Ali Ahmadzadeh, Bijan Sayyar-Roudsari, Abdollah Homaifar
Pages 1-21
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- George Barbastathis, Arnab Sinha
Pages 23-44
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- Sergiy Butenko, Xiuzhen Cheng, Carlos A. Oliveira, P. M. Pardalos
Pages 61-73
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- Timothy Chung, Lars Cremean, William B. Dunbar, Zhipu Jin, Eric Klavins, David Moore et al.
Pages 75-104
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- Martin Eilders, Jeff Layne, Zaher M. Kassas, Umit Ozguner
Pages 117-124
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- Deniz Erdogmus, Jose C. Principe, Rajvignesh Thogulua
Pages 125-143
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- Sriram Ganapathy, Kevin M. Passino
Pages 145-165
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- Michael J. Hennebry, Ahmed Kamel, Kendall E. Nygard
Pages 167-173
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- David R. Jacques, Meir Pachter
Pages 175-205
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- Yan Jin, Marios M. Polycarpou, Ali A. Minai
Pages 207-224
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- Pavlo Krokhmal, Robert Murphey, Panos Pardalos, Stanislav Uryasev
Pages 225-241
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- Vishwesh Kulkarni, Jan De Mot, Nicola Elia, Eric Feron, James Paduano
Pages 243-259
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- Theju Maddula, Ali A. Minai, Marios M. Polycarpou
Pages 261-272
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- Daniel Marthaler, Andrea L. Bertozzi
Pages 317-332
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- Rob Murphey, Stanislav Uryasev, Michael Zabarankin
Pages 349-406
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
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Texas A&M University, USA
Sergiy Butenko
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Air Force Research Laboratory, Eglin, USA
Robert Murphey
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University of Florida, Gainsville, USA
Panos M. Pardalos