Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling
For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react w...
Saved in:
| Main Authors: | Sebastian KURCZYK, Marek PAWELCZYK |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Fundamental Technological Research Polish Academy of Sciences
2014-06-01
|
| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/822 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review of Active Noise Control Technology of Railway Vehicle
by: LUO Zhuhui, et al.
Published: (2018-01-01) -
Nonlinear Structural Acoustic Control with Shunt Circuit Governed by a Soft-Computing Algorithm
by: Sebastian KURCZYK, et al.
Published: (2018-07-01) -
Improvement of Adaptive Cruise Control System Performance on Sloped Roads Based on Adaptive Neuro-Fuzzy Inference System
by: Kang-Hyeon Choi, et al.
Published: (2025-01-01) -
Active control of the fluid pulse based on the FxLMS
by: Hai Yang, et al.
Published: (2024-12-01) -
Active noise control - a review of control-related problems
by: Marek PAWEŁCZYK
Published: (2008-01-01)