کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4999597 1460631 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Tensor Network alternating linear scheme for MIMO Volterra system identification
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
Tensor Network alternating linear scheme for MIMO Volterra system identification
چکیده انگلیسی
This article introduces two Tensor Network-based iterative algorithms for the identification of high-order discrete-time nonlinear multiple-input multiple-output (MIMO) Volterra systems. The system identification problem is rewritten in terms of a Volterra tensor, which is never explicitly constructed, thus avoiding the curse of dimensionality. It is shown how each iteration of the two identification algorithms involves solving a linear system of low computational complexity. The proposed algorithms are guaranteed to monotonically converge and numerical stability is ensured through the use of orthogonal matrix factorizations. The performance and accuracy of the two identification algorithms are illustrated by numerical experiments, where accurate degree-10 MIMO Volterra models are identified in about 1 s using Matlab on a 3.3 GHz quad-core desktop computer with 16 GB RAM.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automatica - Volume 84, October 2017, Pages 26-35
نویسندگان
, , ,