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System Identification with Quantized Observations (Systems & Control: Foundations & Applications) - Tapa dura

Libro 28 de 55: Systems & Control: Foundations & Applications

Yin, G. George; Zhang, Ji-Feng; Wang, Le Yi

 
9780817649555: System Identification with Quantized Observations (Systems & Control: Foundations & Applications)
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ISBN 10: 0817649557 ISBN 13: 9780817649555
Editorial: Birkhäuser, 2010

Sinopsis

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed.

System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

This book presents recently developed methodologies that utilize quantized information in system identification and explores their potential in extending control capabilities for systems with limited sensor information or networked systems. The results of these methodologies can be applied to signal processing and control design of communication and computer networks, sensor networks, mobile agents, coordinated data fusion, remote sensing, telemedicine, and other fields in which noise-corrupted quantized data need to be processed.

Providing a comprehensive coverage of quantized identification, the book treats linear and nonlinear systems, as well as time-invariant and time-varying systems. The authors examine independent and dependent noises, stochastic- and deterministic-bounded noises, and also noises with unknown distribution functions. The key methodologies combine empirical measures and information-theoretic approaches to derive identification algorithms, provide convergence and convergence speed, establish efficiency of estimation, and explore input design, threshold selection and adaptation, and complexity analysis.

System Identification with Quantized Observations is an excellent resource for graduate students, systems theorists, control engineers, applied mathematicians, as well as practitioners who use identification algorithms in their work. Selected material from the book may be used in graduate-level courses on system identification.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Birkhäuser
Año de publicación
2010
Idioma
Inglés
ISBN 10 
0817649557
ISBN 13 
9780817649555
Encuadernación
Tapa dura
Número de páginas
336
Contacto del fabricante
no disponible
Persona responsable
GPSR Kontakt
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