Understanding Robustness of Battery Supported Cyber-Physical Systems
This research aims to introduce methods to analyze the robustness of battery supported cyber physical systems under co-designed control, scheduling, and battery management algorithms. Robustness refers to the ability to maintain system performance under perturbations. Robustness in controller design has been well defined and understood for a large class of feedback control systems, yet robustness of scheduling and battery management algorithms is relatively less understood. We introduce a novel concept of dynamic schedulability so that robustness of scheduling algorithms is measured through the minimum strength of the perturbations that break the dynamic schedulability.
Submitted by Fumin Zhang
on
This research aims to introduce methods to analyze the robustness of battery supported cyber physical systems under co-designed control, scheduling, and battery management algorithms. Robustness refers to the ability to maintain system performance under perturbations. Robustness in controller design has been well defined and understood for a large class of feedback control systems, yet robustness of scheduling and battery management algorithms is relatively less understood. We introduce a novel concept of dynamic schedulability so that robustness of scheduling algorithms is measured through the minimum strength of the perturbations that break the dynamic schedulability.
Submitted by Fumin Zhang
on