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Distributed cooperative control : emerging applications /

Examines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systems Provides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Guo, Yi, 1971- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ, USA : John Wiley & Sons Inc., 2017.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Distributed cooperative control :  |b emerging applications /  |c Yi Guo. 
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505 0 |a 1. Introduction -- 2. Distributed consensus and consensus filters -- Part I. Distributed consensus for networked communication systems -- 3. Average consensus for quantized communication -- 4. Weighted average consensus for cooperative spectrum sensing -- 5. Distributed consensus filter for radio environment mapping -- Part II. Distributed cooperative control for multirobotic systems -- 6. Distributed source seeking by cooperative robots -- 7. Distributed plume front tracking by cooperative robots -- Part III. Distributed cooperative control for multiagent physics systems -- 8. Friction control of nano-particle array -- 9. Synchronizing coupled semiconductor lasers -- Appendix A. Notation and symbols -- Appendix B. Kronecker product and properties -- Appendix C. Quantization schemes -- Appendix D. Finite L2 gain -- Appendix E. Radio signal propagation model. 
520 |a Examines new cooperative control methodologies tailored to real-world applications in various domains such as in communication systems, physics systems, and multi-robotic systems Provides the fundamental mechanism for solving collective behaviors in naturally-occurring systems as well as cooperative behaviors in man-made systems Discusses cooperative control methodologies using real-world applications, including semi-conductor laser arrays, mobile sensor networks, and multi-robotic systems Includes results from the research group at the Stevens Institute of Technology to show how advanced control technologies can impact challenging issues, such as high energy systems and oil spill monitoring. 
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