Title :
Identification of nonlinear systems using two-layer DBF neural networks
Author :
Feng, Hao ; Cao, Wen-Ming ; Wang, Shuo-Jue
Author_Institution :
Jiaxing Coll., Zhejiang, China
Abstract :
Nonlinear system identification using direction basis function neural networks is presented. The state estimation error is proven to converge to zero asymptotically. Parameters of the identifier converge to the ideal parameters provided by that persistency of excitation condition is fulfilled. Its identification structure is analyzed.
Keywords :
convergence; neural nets; neurocontrollers; nonlinear control systems; state estimation; direction basis function; nonlinear system identification; state estimation error; two-layer DBF neural network; Computer errors; Differential equations; Educational institutions; Intelligent networks; Neural networks; Neurons; Nonlinear equations; Nonlinear systems; Pattern recognition; State estimation;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380739
