Learning Introspective Control
LINC will develop machine introspection and learning technologies that can characterize a damaged or modified military platform from its behavior, and then update the control law to maintain stability and control. A platform equipped with LINC technology will continually compare the real-time behavior of the platform, as measured by on-board sensors, with a learned model of the plant, determine whether the 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 that operator is human or an autonomous controller. The LINC capability is being developed to aid operators in maintaining effective control of military platforms that suffer damage in battle or have been modified in the field in response to emergent requirements identified during operations.