z-logo
open-access-imgOpen Access
System Identification of Classic HVDC Systems
Author(s) -
Leon Chetty,
N.M. Ijumba
Publication year - 2011
Publication title -
saiee africa research journal
Language(s) - English
Resource type - Journals
ISSN - 1991-1696
DOI - 10.23919/saiee.2011.8531910
Subject(s) - hvac , identification (biology) , transfer function , computer science , system identification , control engineering , matching (statistics) , stability (learning theory) , engineering , data modeling , mathematics , electrical engineering , machine learning , database , air conditioning , biology , mechanical engineering , statistics , botany
Determining models from observations and studying the models’ properties is essentially the functionality of science. Models attempt to link observations into some pattern. System identification is the art of building mathematical models of dynamic systems based on observed data from the systems. This paper presents a system identification methodology that can be utilized to derive the classic HVD...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom