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

• Κύριοι συγγραφείς: He, Qi (Συγγραφέας), Wang, Le Yi (Συγγραφέας), Yin, G. George (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2013.
• Σειρά: SpringerBriefs in Mathematics,
• Θέματα: Mathematics.; System theory.; Probabilities.; Control engineering.; Systems Theory, Control.; Control.; Probability Theory and Stochastic Processes.

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...

Πίνακας περιεχομένων:

• 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.