Value of Information Analysis in Feedback Control
Touraj Soleymani · 2019
This thesis is concerned with the value of information in control of cyber-physical systems. We develop a unified theoretical framework in the context of linear quadratic Gaussian control for the maximization of the control performance subject to different constraints that restrict the information flow in the system. The results have implications for decision making in causal systems with applications in aerospace, robotics, and healthcare.