The ability to rapidly focus attention and react to salient environmental features enables animals to move agiley through their habitats. To replicate this kind of high-performance control of movement in synthetic systems, we propose a new approach to feedback control that bases control actions on randomly perceived features. Connections will be made with recent work incorporating communication protocols into networked control systems. The concepts of {\em random channel controllability} and {\em random channel observability} for LTI control systems are introduced and studied.
@article{arxiv.1403.5462,
title = {Saliency Based Control in Random Feature Networks},
author = {John Baillieul and Zhaodan Kong},
journal= {arXiv preprint arXiv:1403.5462},
year = {2014}
}