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Decentralised indirect adaptive output feedback fuzzy tracking design for a class of large-scale nonlinear systems

Author

Listed:
  • Yi-Shao Huang
  • Zhong-Xiang Huang
  • De-Qun Zhou
  • Xiao-Xin Chen
  • Qi-Xin Zhu
  • Hui Yang

Abstract

A novel decentralised indirect adaptive output feedback fuzzy controller with a compensation controller and an H∞ tracking controller is presented for a class of uncertain large-scale nonlinear systems in this article. The compensator adaptively compensates for interconnections between subsystems as well as mismatched errors, while the H∞ controller suppresses the effect of external disturbances. Based upon the combination of fuzzy inference systems, a state observer, H∞ tracking technique and the strictly positive real condition, the proposed overall observer-based decentralised algorithm guarantees not only asymptotical tracking of reference trajectories but also an arbitrary small attenuation level of the unmodelled error dynamics including the disturbances on the tracking control. Simulation results substantiate the effectiveness of the proposed scheme.

Suggested Citation

  • Yi-Shao Huang & Zhong-Xiang Huang & De-Qun Zhou & Xiao-Xin Chen & Qi-Xin Zhu & Hui Yang, 2011. "Decentralised indirect adaptive output feedback fuzzy tracking design for a class of large-scale nonlinear systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(1), pages 180-191.
    • Handle: RePEc:taf:tsysxx:v:43:y:2011:i:1:p:180-191
    DOI: 10.1080/00207721.2010.487949
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