Cooperative Control of Distributed Multi - Agent Systems / by Jeff Shamma. [Electronic Resource]
Material type: Computer filePublication details: Chichester, West Sussex, England : Wiley-Interscience, 2007Description: 435pISBN:- 9780470060315
- 003.5Â Sh17C
Item type | Home library | Collection | Call number | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
e-Book | S. R. Ranganathan Learning Hub Online | Textbook | 003.5 Sh17C (Browse shelf(Opens below)) | Available (e-Book For Access) | Platform : EBSCO | EB0044 |
Browsing S. R. Ranganathan Learning Hub shelves, Shelving location: Online, Collection: Textbook Close shelf browser (Hides shelf browser)
003 N462N Networks | 003.3 B882M Modeling and Simulation : An Application-Oriented Introduction | 003.3 L41S Simulation Modeling and Analysis | 003.5 Sh17C Cooperative Control of Distributed Multi - Agent Systems | 003.54 C838E Elements of Information Theory | 003.54 K68U Uncertainty and Information : Foundations of Generalized Information Theory | 003.85 Al55C Chaos : An Introduction to Dynamical Systems |
The paradigm of 'multi-agent'cooperative control is the challenge frontier for new control system application domains, and as a research area it has experienced a considerable increase in activity in recent years. This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the "dimensions" of cooperative control from leading researchers worldwide. This dimensional decomposition allows the reader to assess the multi-faceted landscape of cooperative control. Cooperative Control of Distributed Multi-Agent Systems is organized into four main themes, or dimensions, of cooperative control: distributed control and computation, adversarial interactions, uncertain evolution and complexity management. The military application of autonomous vehicles systems or multiple unmanned vehicles is primarily targeted; however much of the material is relevant to a broader range of multi-agent systems including cooperative robotics, distributed computing, sensor networks and data network congestion control. Cooperative Control of Distributed Multi-Agent Systems offers the reader an organized presentation of a variety of recent research advances, supporting software and experimental data on the resolution of the cooperative control problem. It will appeal to senior academics, researchers and graduate students as well as engineers working in the areas of cooperative systems, control and optimization.
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