Models identification and adaptive control of the flying objects using neural networks

costin @ www.electro. pub.ro Abstract:- In this paper one presents some hierarchy structures for models identification and adaptive control using neural networks. One presents a new control system with leading system’s identification (presented in fig.5), which may be made particular using as leading system longitudinal dynamic of aircrafts. A simulation program for identification and adaptive control of the longitudinal movement has been obtained; with this program the neural network weights of the adaptive regulator has been calculated and different time characteristics of the closed loop system has been plotted. Key-Words:- identification, adaptive, neural network, aircraf