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

• Main Authors: He, Qi. (Author), Wang, Le Yi. (Author), Yin, G. George. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: SpringerBriefs in Mathematics,
• Subjects: Mathematics.; Systems theory.; Distribution (Probability theory).; Systems Theory, Control.; Control.; Probability Theory and Stochastic Processes.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-6292-7

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...

Table of Contents:

• Introduction and Overview.-�System Identification: Formulation.-�Large Deviations: An Introduction.-�LDP under I.I.D. Noises.-�LDP under Mixing Noises.-�Applications to Battery Diagnosis.-�Applications to Medical Signal Processing.-Applications to Electric Machines
• Remarks and Conclusion
• References
• Index.