Adaptive Control for the Generic Transport Model: A Derivative-Free Approach

This paper presents a derivative-free model reference adaptive controller design for NASA genetic transport model. The proposed architecture does not assume the ideal weights of a parameterized uncertainty are constant. In addition, it does not require modification terms like σor emodification, or applying a projection operator to the weight estimates, for uniformly ultimately boundedness. The proposed design is particularly advantageous for applications to aerospace systems that undergo a sudden change in dynamics, either due to reconfiguration, deployment of a payload, or structural damage.