Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/29414
Title: Identification and control of continuous-time nonlinear systems via dynamic neural networks
Authors: Ren, XM
Rad, AB
Chan, PT
Lo, WL
Keywords: Adaptive control
Continuous-time nonlinear systems
Dynamic neural networks
System identification
Issue Date: 2003
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on industrial electronics, 2003, v. 50, no. 3, p. 478-486 How to cite?
Journal: IEEE transactions on industrial electronics 
Abstract: In this paper, we present an algorithm for the online identification and adaptive control of a class of continuous-time nonlinear systems via dynamic neural networks. The plant considered is an unknown multi-input/multi-output continuous-time higher order nonlinear system. The control scheme includes two parts: a dynamic neural network is employed to perform system identification and a controller based on the proposed dynamic neural network is developed to track a reference trajectory. Stability analysis for the identification and the tracking errors is performed by means of Lyapunov stability criterion. Finally, we illustrate the effectiveness of these methods by computer simulations of the Duffing chaotic system and one-link rigid robot manipulator. The simulation results demonstrate that the model-based dynamic neural network control scheme is appropriate for control of unknown continuous-time nonlinear systems with output disturbance noise.
URI: http://hdl.handle.net/10397/29414
ISSN: 0278-0046
EISSN: 1557-9948
DOI: 10.1109/TIE.2003.812350
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

67
Last Week
0
Last month
0
Citations as of Oct 20, 2018

WEB OF SCIENCETM
Citations

52
Last Week
0
Last month
Citations as of Oct 18, 2018

Page view(s)

71
Last Week
0
Last month
Citations as of Oct 21, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.