Quasi-ARX neural network and its application to adaptive control of nonlinear systems

Lan Wang, Yu Cheng, Jinglu Hu

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

2 Citations (Scopus)

Abstract

This paper introduces a quasi-ARX neural network and discusses its application to adaptive control of nonlinear systems. A switching mechanism is employed to improve the performance of control system. An adaptive switching control of nonlinear system is established and some stability analysis of control system is shown. Simulations are given to show the effectiveness of the proposed method both on stability and accuracy.

Original languageEnglish
Title of host publicationProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10
Pages577-580
Number of pages4
Publication statusPublished - 2010 Dec 1
Event15th International Symposium on Artificial Life and Robotics, AROB '10 - Beppu, Oita, Japan
Duration: 2010 Feb 42010 Feb 6

Publication series

NameProceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10

Other

Other15th International Symposium on Artificial Life and Robotics, AROB '10
CountryJapan
CityBeppu, Oita
Period10/2/410/2/6

Keywords

  • Adaptive control
  • Nonlinear system
  • Quasi-ARX neural network
  • Switching mechanism

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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  • Cite this

    Wang, L., Cheng, Y., & Hu, J. (2010). Quasi-ARX neural network and its application to adaptive control of nonlinear systems. In Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10 (pp. 577-580). (Proceedings of the 15th International Symposium on Artificial Life and Robotics, AROB 15th'10).