NDLI: Developing an IIR robust adaptive algorithm in the modified Filtered-x RLS form for active noise and vibration control systems

Content Provider	IEEE Xplore Digital Library
Author	Montazeri, A. Reger, J.
Copyright Year	2011
Description	Author affiliation: Control Engineering Group at Ilmenau University of Technology, Gustav-Kirchhoff-Str.1, D-98693, Germany (Montazeri, A.; Reger, J.)
Abstract	In this paper, a robust adaptive algorithm for active noise and vibration control applications is proposed and the robust stability of the algorithm is analyzed using a combination of the small gain theorem and Popov's hyperstability theorem. The algorithm is developed based on the so-called Filtered-x RLS algorithm in the modified form. In design and analysis of the algorithm, it is assumed that the estimated model of the secondary path is associated with a set of uncertainties of additive structure; and sufficient conditions for stability of the algorithm are derived. In fact, by introducing a stabilizing filter, the aim is to design this filter in a way that the achieved sufficient conditions for robust stability are satisfied. The employed method is to transform the proposed control structure to an equivalent output error identification problem, and then formulate the governing adaptive algorithm in a way that is representable as a feedback control problem. In view of this approach, sufficient conditions for robust stability of the adaptive algorithm will be equivalent to find the conditions for the stability of the established feedback control system. The technique applied here to this end is established on the energy conservation relation that is valid for the general data models in adaptive filters.
Starting Page	7994
Ending Page	7999
File Size	246347
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6161126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Robustness Adaptive algorithms Stability analysis Transfer functions Vectors Noise
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Modeling and Simulation Control and Optimization

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Robust adaptive algorithms for active noise and vibration control

Adaptive second-order Volterra filtered-X RLS algorithms with sequential and partial updates for nonlinear active noise control

Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters

A robust filtered-x LMS algorithm for active vibration control

Convex-Optimization-Based Enforcement of Robust BIBO Stability on the AIC Scheme Using a Modified RLS Algorithm

Convex Combination Filtered-X Algorithms for Active Noise Control Systems

A Novel Technique for Design and Stability Analysis of Adaptive IIR Filters in ANVC Aplications

New robust adaptive algorithm for multichannel adaptive active noise control

A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems

Developing an IIR robust adaptive algorithm in the modified Filtered-x RLS form for active noise and vibration control systems

Similar Documents

Robust adaptive algorithms for active noise and vibration control

Adaptive second-order Volterra filtered-X RLS algorithms with sequential and partial updates for nonlinear active noise control

Design and analysis of an RLS-type modified filtered-x algorithm for adaptive IIR filters

A robust filtered-x LMS algorithm for active vibration control

Convex-Optimization-Based Enforcement of Robust BIBO Stability on the AIC Scheme Using a Modified RLS Algorithm

Convex Combination Filtered-X Algorithms for Active Noise Control Systems

A Novel Technique for Design and Stability Analysis of Adaptive IIR Filters in ANVC Aplications

New robust adaptive algorithm for multichannel adaptive active noise control

A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems

Developing an IIR robust adaptive algorithm in the modified Filtered-x RLS form for active noise and vibration control systems