Abstract Aiming at the problem of unmanned aerial vehicle (UAV) attitude control with insufficient robustness and anti-disturbance, this paper proposes a UAV method combining incremental nonlinear dynamic inverse (INDI) neural network (NN) adaptive compensation. Firstly, model time scale separation is proposed. On basis, INDI law derived, angular acceleration information required by feedback fi...

In this study, an integrated neural network control architecture for nonlinear dynamic systems is presented. Most of the recent emphasis in the neural network control field has no error feedback as the control input, which rises the lack of adaptation problem. The integrated architecture in this paper combines feed forward control and error feedback adaptive control using neural networks. The p...

The computer network flow controlproblem has been a recurring theme for long time. The main objective has always been to use network resources efficiently where to prevent the data packet loss, which requires retransmission of the lost information. This article presents the theoretical background necessary to understand the flow control, the existing research in this area and a theoretical back...

This paper proposes the neural network solution to the indirect vector control of three phase induction motor including an adaptive neuro fuzzy controller. The basic equations and elements of the indirect vector control scheme are given. The proposed control scheme is realized by an adaptive neuro-fuzzy controller and two feed forward neural network. The neuro-fuzzy controller incorporates fuzz...