Reconfiguration of Component Level Control Network Automation Systems

This project seeks to demonstrate the feasibility of applying advanced model based reasoning techniques based on the Open Autonomy Kernel (OAK) to a survivable component level automation infrastructure (CLAI) developed for Naval shipboard automationapplications. The key feature of the CLAI is cost effective scalable reliability through a dependable topology and dynamic reconfiguration for network fragment healing. The model based reasoning will be used to anticipate the effect of damage given aprediction or sensor input that indicates a damage event is likely. Given the prediction and the model it should be possible to pre-configure the CLAI to minimize the extent of damage and the latentecy of past damage healing. These techniques will first beapplied to the network infrastructure itself but could be applied in the future to any of the automated systems attached to the network. This should eventually allow all associated ship systems to reconfigure themselves prior to a