Hameed, A., A. Khoshkbarforoushha, R. Ranjan, PP Jayaraman, J. Kolodziej, P. Balaji, S.
Zeadally, QM Malluhi, N. Tziritas, A. Vishnu et al.(2016). A survey and taxonomy on energy …

This paper describes a novel finite-state conditional switching structure that enables
autonomous recovery for a large envelope of loss-of-control conditions. The switching …

In this work, we present a high fidelity model based progressive reinforcement learning
method for control system design for an agile maneuvering UAV. Our work relies on a …

This paper presents the design of an automatic deep stall recovery algorithm for large
transport aircraft using optimal trajectory planning. Deep stall is a condition where an aircraft …

Fighter jets are incredible machines. Equally incredible is the skill required to operate them.
The pilots of these jets have to excel at observing, communicating, calculating, and making …

Previous work on hybrid system optimization presume fixed invariant conditions between
modes and mostly focus on obtaining the optimal control law. However, invariant conditions …

Aircraft pilots and autopilots would greatly benefit from a system that assists in recovering an
aircraft after a severe flight upset such as a spin or stall. This system needs to perform the …