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-...

詳細記述

書誌詳細

主要な著者:	Rakesh Kumar Pattanaik, Muhammad Sarfraz, Mihir Narayan Mohanty
フォーマット:	Artigo
言語:	Inglês
出版事項:	Iran University of Science & Technology 2022-12-01
シリーズ:	International Journal of Industrial Engineering and Production Research
主題:	kernel adaptive filtering nonlinear system indentation least-mean square kernel least-mean square single input single-output (siso) system gaussian kernel
オンライン･アクセス:	http://ijiepr.iust.ac.ir/article-1-1572-en.pdf
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!