Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/106744
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Intelligent tracking control for a class of uncertain high-order nonlinear systems
Author: Zhao, X.
Shi, P.
Zheng, X.
Zhang, J.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2016; 27(9):1976-1982
Publisher: IEEE
Issue Date: 2016
ISSN: 2162-237X
2162-2388
Statement of
Responsibility: 
Xudong Zhao, Peng Shi, Xiaolong Zheng, and Jianhua Zhang
Abstract: This brief is concerned with the problem of intelligent tracking control for a class of high-order nonlinear systems with completely unknown nonlinearities. An intelligent adaptive control algorithm is presented by combining the adaptive backstepping technique with the neural networks' approximation ability. It is shown that the practical output tracking performance of the system is achieved using the proposed state-feedback controller under two mild assumptions. In particular, by introducing a parameter in the derivations, the tracking error between the time-varying target signal and the output can be reduced via tuning the controller design parameters. Moreover, in order to solve the problem of overparameterization, which is a common issue in adaptive control design, a controller with one adaptive law is also designed. Finally, simulation results are given to show the effectiveness of the theoretical approaches and the potential of the proposed new design techniques.
Keywords: Adaptive backstepping; high-order nonlinear systems; neural networks
Description: Date of publication August 11, 2015; date of current version August 15, 2016.
Rights: © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
DOI: 10.1109/TNNLS.2015.2460236
Grant ID: 61203123
61374052
6141101209
http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
http://purl.org/au-research/grants/arc/LE150100079
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


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