This book aims at the detection and identification of airframe icing based on statistical properties of aircraft dynamics and reconfigurable control protecting aircraft from hazardous icing conditions. Icing model of aircraft is represented by five parameters for iced wing airfoils. Icing is detected by a Kalman filtering innovation approach. A neural network structure is embodied such that its inputs are the aircraft estimated measurements, and its outputs are the icing parameters. The necessary training and validation set for the neural network model of the iced aircraft are obtained from...