Abstract
The interplay between information science and control theory is discussed. In order to deal with a complex system in control theory, it is expected to be fruitful to import techniques from statistics, machine learning theory, information theory, and signal processing. It also seems promising to apply control theory to dynamical systems that appear in the mentioned fields of information science. Two results are presented as research in this direction. One is on a randomized algorithm for gain-scheduled control and the other is on non-stationary independent component analysis.
