Abstract
This paper studies the identification of linear systems with quantized output observations. Recursive estimates for the linear system and the quantization thresholds are derived by the stochastic approximation algorithms with expanding truncations (SAAWET). Under suitable conditions, it is shown that the estimates converge to the true values almost surely.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.