TITLE:
Lyapunov-Based Dynamic Neural Network for Adaptive Control of Complex Systems
AUTHORS:
Farouk Zouari, Kamel Ben Saad, Mohamed Benrejeb
KEYWORDS:
Complex Dynamical Systems; Lyapunov Approach; Recurrent Neural Networks; Adaptive Control
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.5 No.4,
April
23,
2012
ABSTRACT: In this paper, an adaptive neuro-control structure for complex dynamic system is proposed. A recurrent Neural Network is trained-off-line to learn the inverse dynamics of the system from the observation of the input-output data. The direct adaptive approach is performed after the training process is achieved. A lyapunov-Base training algorithm is proposed and used to adjust on-line the network weights so that the neural model output follows the desired one. The simulation results obtained verify the effectiveness of the proposed control method.