Hybrid DE-Jaya Optimized Variable Step-Size and Tap-Length Adaptive Filtering Control Algorithm Active Micro-vibration Control with Piezoelectric Stack Actuator

2021 ◽  
Author(s):  
Gao Zhiyuan ◽  
Shao Muyao ◽  
Wang Yiru ◽  
Zhu Xiaojin
Keyword(s):  
Vibration Control ◽  
Adaptive Filtering ◽  
Control Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Variable Step ◽  
Micro Vibration ◽  
Piezoelectric Stack Actuator

A Variable Step Size LMS Adaptive Filtering Algorithm and Simulations Based on Computational Verb Theory

2013 ◽  
Vol 756-759 ◽  
pp. 3972-3976 ◽  
Author(s):  
Li Hui Sun ◽  
Bao Yu Zheng
Keyword(s):  
Adaptive Filtering ◽  
Adaptive Algorithm ◽  
Linear Functional ◽  
Functional Relationship ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Filtering Algorithm ◽  
Variable Step ◽  
Simulation Results

Based on traditional LMS algorithm, variable step LMS algorithm and the analysis for improved algorithm, a new variable step adaptive algorithm based on computational verb theory is put forward. A kind of sectorial linear functional relationship is established between step parameters and the error. The simulation results show that the algorithm has the advantage of slow change which is closely to zero. And overcome the defects of some variable step size LMS algorithm in adaptive steady state value is too large.

A New Variable Step Size LMS Adaptive Filtering Algorithm and its Analysis

2012 ◽  
Vol 605-607 ◽  
pp. 2193-2196
Author(s):  
Wei Ju Cai
Keyword(s):  
Adaptive Filtering ◽  
Functional Relationship ◽  
Lms Algorithm ◽  
Variable Step Size ◽  
Step Size ◽  
Nonlinear Functional ◽  
Filtering Algorithm ◽  
Variable Step ◽  
Novel Algorithm ◽  
Better Than

The paper proposed a modified LMS algorithm of variable step size based on a brief analysis of traditional LMS,variable step size LMS algorithm and its improved algorithm.The novel algorithm based on nonlinear functional relationship between the step-size and the error ,increases adaptively at the beginning of the algorithm or when the channel is varying with time ,and it would be smaller during the steady state.So the algorithm has the excellences of faster constringency,little steady error ,tracking the change of the system and avoiding the effects of the noise. The theoretical analysis and computer simulation prove that the algorithm is better than traditional LMS algorithm.

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