en Statistical Process Control Statistical Process Control or Quality Control Statistical Process Control Statistical Process Control or Quality Control پژوهشي Research <span style="font-size:9pt"><span style="line-height:11pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:10.0pt"><span style="color:black">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</span></span><span lang="EN-US" style="font-size:10.0pt"><span style="color:#131413"> Least-mean square</span></span><span style="font-size:10.0pt"><span style="color:black"> (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.</span></span></span></span></span><br> &nbsp; Kernel adaptive filtering,Nonlinear system indentation,Least-mean square,Kernel least-mean square,Single input,Single-output (SISO) System,Gaussian kernel 1 16 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-2484-1&slc_lang=en&sid=1 Rakesh Kumar Pattanaik rakeshpattanaik.888@gmail.com 1800319475328460010884 1800319475328460010884 No Department of Electronics and Communication Engineering, ITER (FET), Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India Muhammad Sarfraz prof.m.sarfaraj@gmail.com 1800319475328460010885 1800319475328460010885 No Ex-Prof, Department of Information Science, Kuwait University Mihir Narayan Mohanty mihir.n.mohanty@gmail.com 1800319475328460010886 1800319475328460010886 Yes Department of Electronics and Communication Engineering, ITER (FET), Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India