標題: A Dynamic Neural Network Model for Nonlinear System Identification
作者: Wang, Chi-Hsu
Chen, Pin-Cheng
Lin, Ping-Zong
Lee, Tsu-Tian
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: system identification;dynamic neural network;Hopfield neural network;Lyapunov criterion
公開日期: 2008
摘要: In this paper, a new dynamic neural network based on the Hopfield neural network is proposed to perform the nonlinear system identification. Convergent analysis is performed by the Lyapunov-like criterion to guarantee the error convergence during identification. Simulation results demonstrate that the proposed dynamic neural network trained by the Lyapunov approach can obtain good identifted performance.
URI: http://hdl.handle.net/11536/1208
ISBN: 978-1-4244-4115-0
期刊: PROCEEDINGS OF THE 2009 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION
起始頁: 440
結束頁: 441
顯示於類別:會議論文