Control System Introspection
Abstract
The Control System Introspection program seeks to develop machine introspection and learning technologies to characterize a damaged or modified military platform from its behavior, and update the control law to maintain stability and control. A platform equipped with Control System Introspection technologies will continually compare the real-time behavior of the platform as measured by on-board sensors with a learned model, determine if the current observed behavior of the platform differs from that model in ways that might compromise stability and control, and implement an updated control law when required. The current approach to handling platform damage or modification places the burden of recovery and control on the operator, whether the operator is human or an autonomous controller. In contrast, the Control System Introspection capability would aid operators in maintaining effective control of military platforms that suffer damage in battle or have been modified in the field to address emergent requirements identified during operations.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2022
- Source ID
- c00ee2af8e65ac5c5f0e19e52a57e67f