@Article{JICS-1-139,
author = {},
title = {Variable Learning Rate LMS Based Linear Adaptive Inverse Control},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {1},
number = {3},
pages = {139--148},
abstract = { Adaptive  inverse  control  of  linear  system  with  fixed  learning  rate  least  mean  square  (LMS) 
algorithm is improved by varying the learning rate. This variable learning rate LMS algorithm is proved to be 
convergent by using Lyapunov method. It has better performance especially when there is noise in command 
input  signal.  And  it  is  simpler  than  the  Variable  Step-size  Normalized  LMS  algorithm.  A  water  box 
temperature  control  example  is  quoted  in  this  paper.  Simulation  results  are  carried  out  and  show  that  the 
adaptive inverse control with variable learning rate LMS is better than that with the fixed learning rate LMS 
algorithm and the Variable Step-size Normalized LMS algorithm. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22838.html}
}