System Identification Using Regular and Quantized Observations Applications of Large Deviations Principles /

This brief presents characterizations of identification errors under a probabilistic framework when output sensors are binary, quantized, or regular.  By considering both space complexity in terms of signal quantization and time complexity with respect to data window sizes, this study provides a new...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: He, Qi (Author), Wang, Le Yi (Author), Yin, George G. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Springer New York : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Mathematics,
Subjects:
System theory.
Control theory.
Control engineering.
Probabilities.
Systems Theory, Control .
Control and Systems Theory.
Probability Theory.
Online Access:Texto Completo

Internet

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