By Topic

Estimation-based approach to simultaneous adaptive control and parameter estimation in filtered-LMS problems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Alighanbari, M. ; NASA Autonomous Control Eng. Center, Greensboro, NC, USA ; Sayarrodsari, B. ; Homaifar, A.

This paper presents an estimation-based approach to the adaptive filtering (control) problem in the filtered-LMS scenarios with unknown parameters in the secondary path. The approach discussed produces a robust estimate for the unknown system parameters while fulfilling adaptive control objectives. The control objective is to limit the worst-case energy gain from exogenous disturbances, initial condition uncertainty, and parameter estimation error to the cancellation error at the output of the secondary path. Simulation results on a typical active noise cancellation problem are presented to demonstrate the main features of the proposed approach

Published in:

American Control Conference, 2001. Proceedings of the 2001  (Volume:6 )

Date of Conference:

2001