Skip to main content

Research Repository

Advanced Search

A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems

Wu, Xueli; Zhang, Jianhua; Zhu, Quanmin

A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems Thumbnail


Authors

Xueli Wu

Jianhua Zhang

Profile Image

Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems



Abstract

In this study, a generalized procedure in identification and control of a class of time-varying-delayed nonlinear dynamic systems is developed. Under the framework, recurrent neural network is developed to accommodate the on-line identification, which the weights of the neural network are iteratively and adaptively updated through the model errors. Then indirect adaptive controller is designed based on the dichotomy principles and neural networks, which the controller output is designed as a neuron rather than an explicit input term against system states. It should be noticed that including implicit control variable in design is more challenging, but more generic in theory and practical in applications. To guarantee the correctness, rigorousness, generality of the developed results, Lyapunov stability theory is referred to prove the neural network model identification and the designed closed-loop control systems uniformly ultimately bounded stable. A number of bench mark tests are simulated to demonstrate the effectiveness and efficiency of the procedure and furthermore these could be the show cases for potential users to apply to their demanded tasks. © 2009 Elsevier B.V.

Citation

Wu, X., Zhang, J., & Zhu, Q. (2010). A generalized procedure in designing recurrent neural network identification and control of time-varying-delayed nonlinear dynamic systems. Neurocomputing, 73(7-9), 1376-1383. https://doi.org/10.1016/j.neucom.2009.12.002

Journal Article Type Article
Publication Date Mar 1, 2010
Deposit Date Dec 20, 2010
Publicly Available Date Apr 25, 2016
Journal Neurocomputing
Print ISSN 0925-2312
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 73
Issue 7-9
Pages 1376-1383
DOI https://doi.org/10.1016/j.neucom.2009.12.002
Keywords time-varying-delayed nonlinear systems, on-line identification, adaptive control, implicit controller design
Public URL https://uwe-repository.worktribe.com/output/1006177
Publisher URL http://dx.doi.org/10.1016/j.neucom.2009.12.002

Files

NEUCOM-D-08-00846.doc (710 Kb)
Document








You might also like



Downloadable Citations