Volume 33, Issue 4 (IJIEPR 2022)                   IJIEPR 2022, 33(4): 1-16 | Back to browse issues page

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Pattanaik R K, Sarfraz M, Mohanty M N. Nonlinear System Parameterization and Control using Reduced Adaptive Kernel Algorithm. IJIEPR 2022; 33 (4) :1-16
URL: http://ijiepr.iust.ac.ir/article-1-1572-en.html
Nonlinear System Parameterization and Control using Reduced Adaptive Kernel Algorithm
Rakesh Kumar Pattanaik1 , Muhammad Sarfraz2 , Mihir Narayan Mohanty 3
1- Department of Electronics and Communication Engineering, ITER (FET), Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India
2- Ex-Prof, Department of Information Science, Kuwait University
3- Department of Electronics and Communication Engineering, ITER (FET), Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India , mihir.n.mohanty@gmail.com
Abstract:   (1544 Views)
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-linear where its estimation is based on kernel based Least-mean square (LMS) algorithm. The kernel used as Polynomial and Gaussian. As the system is nonlinear polynomial kernel-based algorithm fails to prove its efficacy, though it is of low complexity approach. Gaussian kernel-based application for nonlinear system control performance better as compared to polynomial kernel. Further its complexity is reduced and used for faster performance. The result shows its performance in form of MSE, MAE, RMSE for identification and control that is very useful in industrial application.
 
Keywords: Kernel adaptive filtering, Nonlinear system indentation, Least-mean square, Kernel least-mean square, Single input, Single-output (SISO) System, Gaussian kernel
Full-Text [PDF 1058 kb]   (697 Downloads)    
Type of Study: Research | Subject: Statistical Process Control Statistical Process Control or Quality Control
Received: 2022/08/16 | Accepted: 2022/10/3 | Published: 2022/12/18
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