Abstract
The present paper considers a constant-parameter estimation al~orithm for an analog transfer function by discrete observations fof the object's input and output variables. The algo rithm is bas~d on supplementary variables and least-squares meth ods. It. is assumed, that the order of (,he transfer fUllction is known and the derh~tive~ of the input and output variables are nOI1- measurable. The supplementary variables and their derivatives are constructed from dicrete observations of the input and output vari ables by applying a numerically realized analog filter. Investigation results for the estimate properties are presented. The results were obtained by the method of statistical sim ulation. •
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
