System identification algorithm for non-uniformly sampled data

• المؤلفون الرئيسيون: Bekiroglu, Korkut, Lagoa, Constantino, Lanza, Stephanie T., Sznaier, Mario
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: Non-uniformly Sampled Data; Continuous Time System Identification; DRNTU::Engineering::Electrical and electronic engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/87829; http://hdl.handle.net/10220/46832

Considerable effort has been devoted to the development of algorithms for identification of parsimonious discrete time models from noisy input/output data sets since this facilitates controller design. Several methods, such as nuclear norm minimization, have been used to provide approximate solution...