Nonlinear System Parameterization and Control using Reduced Adaptive Kernel Algorithm

To develop a system for specific purpose, it needs to estimate its parameters (parameterization). It can be used in different fields like engineering, industry etc. In this work, authors used adaptive algorithm to model a system that is applicable in industry for control. This adaptive model is non-...

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Bibliographic Details

Main Authors:	Rakesh Kumar Pattanaik, Muhammad Sarfraz, Mihir Narayan Mohanty
Format:	Artigo
Language:	Inglês
Published:	Iran University of Science & Technology 2022-12-01
Series:	International Journal of Industrial Engineering and Production Research
Subjects:	kernel adaptive filtering nonlinear system indentation least-mean square kernel least-mean square single input single-output (siso) system gaussian kernel
Online Access:	http://ijiepr.iust.ac.ir/article-1-1572-en.pdf
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