Active Noise Control with Sampled-Data Filtered-x Adaptive Algorithm
Information Theory
2013-08-16 v1 Systems and Control
math.IT
Optimization and Control
Abstract
Analysis and design of filtered-x adaptive algorithms are conventionally done by assuming that the transfer function in the secondary path is a discrete-time system. However, in real systems such as active noise control, the secondary path is a continuous-time system. Therefore, such a system should be analyzed and designed as a hybrid system including discrete- and continuous- time systems and AD/DA devices. In this article, we propose a hybrid design taking account of continuous-time behavior of the secondary path via lifting (continuous-time polyphase decomposition) technique in sampled-data control theory.
Cite
@article{arxiv.1308.3300,
title = {Active Noise Control with Sampled-Data Filtered-x Adaptive Algorithm},
author = {Masaaki Nagahara and Ken-ichi Hamaguchi and Yutaka Yamamoto},
journal= {arXiv preprint arXiv:1308.3300},
year = {2013}
}