Neurocontrol of an aircraft: Application to windshear

In this report, we consider the part of our work which concerns the design of neuroidentifiers and neurocontrollers which attenuate the effects of disturbances. Examples for linear-systems identification and disturbance rejection, as well as nonlinear control of an aircraft encountering wind shear on take-off are briefly discussed, and the following three problems are addressed. 1. tem identification via dynamic neural networks. turbance attenuation via memory neurons. craft control in the presence of wind shear after takeoff.