Reconfigurable flight control via neurodynamic programming and universally stable adaptive control

The first breakthrough success with reconfigurable flight control (RFC) was based on a form of neurodynamic programming. Some RFC simulations depend on highly unrealistic assumptions, like the implicit assumption that an airplane will not change its angle of attack by even one degree after being hit by a missile, or that there is only a small set of well-specified possible damage configurations. Hybrid systems based on linear-quadratic optimal control or neural adaptive control have demonstrated useful performance in RFC, but they are of reduced forms of more general neurodynamic programming designs, which should yield higher survival probabilities and "universal" stable adaptive control (stability for a much broader class of plants than those allowed in past theorems of Narenda-Annaswamy (1989) and Narenda-Mukhopadhyay (1996))