Aircraft dynamics identification for optimal control

Four new Maximum Likelihood based approaches for aircraft dynamics identification are presented and compared. The motivation is the need of accurate dynamic models for minimizing aircraft fuel consumption using optimal control techniques. A robust method for building aerodynamic models is also suggested. All these approaches were validated using real flight data from 25 different aircraft

Co-authored during PhD co-supervision with INRIA (2015–2018).