Constraint filtered‐x and filtered‐u least‐mean‐square algorithms for the active control of noise in ducts

1994 ◽  
Vol 95 (6) ◽  
pp. 3379-3389 ◽  
Author(s):  
In‐Soo Kim ◽  
Hee‐Seung Na ◽  
Kwang‐Joon Kim ◽  
Youngjin Park
Keyword(s):  
Active Control ◽  
Mean Square ◽  
Least Mean Square

scholarly journals Active Pressure Ripple Reduction of a Self-Supplied Variable Displacement Pump with Notch Least Mean Square Filter

Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 932
Author(s):  
Xiaochen Huang ◽  
Bing Xu ◽  
Weidi Huang ◽  
Haogong Xu ◽  
Fei Lyu ◽  
...  
Keyword(s):  
Control System ◽  
Active Control ◽  
Pressure Pulsation ◽  
Control Signal ◽  
Control Technique ◽  
Mean Square ◽  
Least Mean Square ◽  
Displacement Pump ◽  
Variable Displacement ◽  
Pressure Ripple

As the power sources in hydraulic systems, variable displacement axial piston pumps generate flow fluctuation. Unfortunately, it results in pressure pulsation which excites the system vibration and emitted noise. The majority of studies try to eliminate the pulsation via a passive technique and the active control methodology has not been discussed in detail. In this research, the feasibility of reducing the pressure ripple by properly controlling the proportional valve has been investigated, which also supports the miniaturization of the active control system. A mathematical model of the self-supplied variable displacement pump including the control system has been developed. The filtered-X least mean square algorithm with time-delay compensation is utilized to calculate the active control signal. Simulation results show the effectiveness of the active control technique. The effect of the active control signal on the flow rate from different chambers of the pump has been analyzed. It demonstrates that the variation of the pressure pulsation should be ascribed to the comprehensive reaction of different flow rates. The major reason is that the flow of the actuator piston neutralizes the peak value of the flow ripple, generated by the nine pistons.

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

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
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