Information Flow Decomposition in Feedback Systems: Linear Time-Invariant Systems with Gaussian Channels
Systems and Control
2014-05-02 v1
Abstract
In our companion paper [1], an information identity decomposition has been derived, which can be interpreted as a law of conservation of information flows in feedback systems. In this paper, we further investigate this decomposition result when specified to linear time-invariant(LTI) systems connected with additive white Gaussian noise(AWGN) channels. It is shown that the quantities in the decomposition are characterized in sensitivity function and the law of conservation is verified.
Cite
@article{arxiv.1405.0080,
title = {Information Flow Decomposition in Feedback Systems: Linear Time-Invariant Systems with Gaussian Channels},
author = {Bertrand Wechsler and Dan Eilat and Nicolas Limal},
journal= {arXiv preprint arXiv:1405.0080},
year = {2014}
}
Comments
technical note. 8 pages