Saliency based control in random feature networks

The ability to rapidly focus attention and react to salient environmental features enables animals to move agilely 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 random channel controllability and random channel observability for LTI control systems are introduced and studied.