Adaptive control for nonlinear systems based on quasi-ARX neural network

Lan Wang, Yu Cheng, Jinglu Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

When a linear model is used for controlling nonlinear systems solely, it can't satisfy accuracy requirement. Whereas, although a neural network can deal with the accuracy problem, it may lead to instability. In this paper, an adaptive controller is proposed for nonlinear dynamical systems based on linear model and quasi-ARX neural network model. A switching algorithm is designed between the linear and nonlinear models. Theory analysis and simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

Original languageEnglish
Title of host publication2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
Pages1548-1551
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Coimbatore, India
Duration: 2009 Dec 92009 Dec 11

Publication series

Name2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings

Conference

Conference2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009
CountryIndia
CityCoimbatore
Period09/12/909/12/11

    Fingerprint

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

Cite this

Wang, L., Cheng, Y., & Hu, J. (2009). Adaptive control for nonlinear systems based on quasi-ARX neural network. In 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings (pp. 1548-1551). [5393673] (2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings). https://doi.org/10.1109/NABIC.2009.5393673