Active Flutter Suppression Using Multi-Input/Multi-Output Adaptive Least Mean Square Control

1997 ◽  
Vol 34 (2) ◽  
pp. 244-250 ◽  
Author(s):  
Walter Eversman ◽  
Indranil Danda Roy
Keyword(s):  
Mean Square ◽  
Least Mean Square ◽  
Flutter Suppression ◽  
Active Flutter Suppression

Improved least mean square adaptive filter algorithm

2013 ◽  
Vol 32 (7) ◽  
pp. 2078-2081
Author(s):  
Cheng-xi WANG ◽  
Yi-an LIU ◽  
Qiang ZHANG
Keyword(s):  
Adaptive Filter ◽  
Mean Square ◽  
Least Mean Square

Active Flutter Suppression Using Cooperative, High Frequency, Dynamic-Resonant Aero-Effectors

2006 ◽  
Author(s):  
William D. Armstrong ◽  
William R. Lindberg ◽  
John E. McInroy ◽  
Jonathan W. Naughton
Keyword(s):  
High Frequency ◽  
Flutter Suppression ◽  
Active Flutter Suppression

scholarly journals An Effective Adaptive Combination Strategy for Distributed Learning Network

2021 ◽  
Vol 11 (12) ◽  
pp. 5723
Author(s):  
Chundong Xu ◽  
Qinglin Li ◽  
Dongwen Ying
Keyword(s):  
Minimum Variance ◽  
Iteration Scheme ◽  
Estimation Problem ◽  
Lms Algorithm ◽  
Unbiased Estimation ◽  
Mean Square ◽  
Least Mean Square ◽  
Combination Strategy ◽  
Adaptive Combination ◽  
Diffusion Networks

In this paper, we develop a modified adaptive combination strategy for the distributed estimation problem over diffusion networks. We still consider the online adaptive combiners estimation problem from the perspective of minimum variance unbiased estimation. In contrast with the classic adaptive combination strategy which exploits orthogonal projection technology, we formulate a non-constrained mean-square deviation (MSD) cost function by introducing Lagrange multipliers. Based on the Karush–Kuhn–Tucker (KKT) conditions, we derive the fixed-point iteration scheme of adaptive combiners. Illustrative simulations validate the improved transient and steady-state performance of the diffusion least-mean-square LMS algorithm incorporated with the proposed adaptive combination strategy.

Adaptive decision feedback equaliser based on sparse incremental least mean square/fourth approach

Pramana ◽  
2021 ◽  
Vol 95 (3) ◽  
Author(s):  
Anjana Kumari ◽  
Yash Keju Barapatre ◽  
Swetaleena Sahoo ◽  
Sarita Nanda
Keyword(s):  
Decision Feedback ◽  
Mean Square ◽  
Least Mean Square

Design and Analysis of the Fractional-Order Complex Least Mean Square (FoCLMS) Algorithm

2021 ◽  
Author(s):  
Jawwad Ahmad ◽  
Muhammad Zubair ◽  
Syed Sajjad Hussain Rizvi ◽  
Muhammad Shafique Shaikh
Keyword(s):  
Fractional Order ◽  
Order Complex ◽  
Mean Square ◽  
Least Mean Square

Adaptive Modified Versoria Zero Attraction Least Mean Square Algorithms

2020 ◽  
Vol 67 (12) ◽  
pp. 3602-3606 ◽  
Author(s):  
Sankha Subhra Bhattacharjee ◽  
Dwaipayan Ray ◽  
Nithin V. George
Keyword(s):  
Mean Square ◽  
Least Mean Square
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