Identification of nonlinear systems with unknown time delay based on time-delay neural networks

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/25056

Title: Identification of nonlinear systems with unknown time delay based on time-delay neural networks
Author(s): Ren, X. M.; Rad, Ahmad B.
Abstract: In this letter, we address the problem of online identification of nonlinear continuous-time systems with unknown time delay based on neural networks (NNs). A novel time-delay NN model with learning algorithm is employed to perform simultaneous system identification and time-delay estimation. The proposed network is an extended version of the time-delay-free dynamical NN. Rigorous stability proof for the identification error is given by means of Lyapunov theory. The simulation studies are provided to demonstrate the performance of the identification algorithm and clarify the theoretical implications.
Publication type: Journal article
Research centre: Swinburne University of Technology. Faculty of Engineering and Industrial Sciences
Source: IEEE Transactions on Neural Networks, Vol. 18, no. 5 (2007), p. 1536-1541
Publication year: 2007
Keyword(s): Neural networks; NNs; System identification; Systems with unknown time delay
Publisher: IEEE
ISSN: 1045-9227
Publisher URL: http://dx.doi.org/10.1109/TNN.2007.899702
Peer reviewed