Implementation and performance evaluation of the Fast On-line pREdiCtion of Aircraft State Trajectories (FORECAST) System

The main objective of the Phase II work is to enhance the FORECAST algorithms developed in Phase I, extend them to 3D in the case of multi-rate sensors and significant wind effects, develop effective tuning procedures, and evaluate the performance of the FORECAST system on test data. In order to achieve these objectives, we plan to carry out the following tasks: (i) Extend FORECAST algorithms to 3D in the case of multi-rate sensors and significant wind effects; (ii) Develop automated algorithm tuning procedures; (iii) Evaluate the proposed algorithms and models for estimation and prediction on test data; and (iv) Develop a prototype FORECAST system and deliver it to the Navy. Under this project our academic partner is MIT (Prof. J. How). The MIT team will extend the reachable set algorithms to 3D, and flight test the FORECAST algorithms in their indoors facility.