文献类型：会议论文

英文题名：Identification and control of nonlinear systems by a time-delay recurrent neural network

作者：Ge, Hong-Wei[1,2];Du, Wen-Li[1];Qian, Feng[1];Liang, Yan-Chun[3]

机构：[1]E China Univ Sci & Technol, Automat Inst, Shanghai 200237, Peoples R China;[2]Dalian Univ Technol, Coll Elect & Informat Engn, Dalian 116024, Peoples R China;[3]Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China

会议论文集：4th International Conference on Fuzzy Systems and Knowledge Discovery/3rd International Conference on Natural Computation

会议日期：AUG 24-27, 2007

会议地点：Haikou, PEOPLES R CHINA

语种：英文

外文关键词：Time-delay recurrent neural network; Nonlinear system; System identification; System control

摘要：in this paper, we first present a novel time-delay recurrent neural network (TDRNN) model by introducing the time-delay and recurrent mechanism. The proposed TDRNN model has special advantages such as simple structure, deeper depth and higher resolution ratio in memory. Thereafter, we develop the dynamic recurrent back-propagation algorithm for the TDRNN. To guarantee the fast convergence, the optimal adaptive learning rates are also derived in the sense of discrete-type Lyapunov stability. More specifically, a TDRNN identifier and a TDRNN controller are constructed to perform the identification and control of the nonlinear systems. Numerical experiments show that the TDRNN model has good effectiveness in the identification and control for dynamic systems. (C) 2009 Published by Elsevier B.V.