期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2012
卷号：5
期号：4
页码：225-248
DOI：10.4236/jsea.2012.54028
出版社：Scientific Research Publishing
摘要：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.
关键词：Complex Dynamical Systems; Lyapunov Approach; Recurrent Neural Networks; Adaptive Control
