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An Improved NLMDF Algorithm with Critical Damping
Wang Teng 1 *,Yan Guirong 2,Han Yuhang 3
1.Tai Yuan Branch of Cinese Coal Mining Institute
2.State Key Laboratory of Mechanical Structural Strength And Vibration
3.China Academy of Engineering Physics
*Correspondence author
#Submitted by
Subject:
Funding: 国家自然科学基金(No.10276032)
Opened online:26 April 2007
Accepted by: none
Citation: Wang Teng,Yan Guirong,Han Yuhang.An Improved NLMDF Algorithm with Critical Damping[OL]. [26 April 2007] http://en.paper.edu.cn/en_releasepaper/content/12503
 
 
We propose an NLMDF-based adaptive algorithm, improved nonlinear multi-degree-of-freedom with critical damping (INLMDF-CD) algorithm. The underlying idea is to assimilate the adaptive modeling process of iteration for the optimal solution to a particle’s moving under the critical damping condition on the mean-square error (MSE) surface geometry, which is imagined to be located in the gravitational field. The new algorithm is derived by incorporating a damping force matrix in the particle movement differential equation to make all modals working under the critical damping condition. The simulation results show a faster rate of convergence for the new algorithm as compared with NLMDF algorithm with a colored noise input signal.
Keywords:LMS algorithm; adaptive modeling; INLMDF-CD algorithm; NLMDF algorithm
 
 
 

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自适应逆控制
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