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Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs

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  • Chunzhi Yang
  • Song Xu
  • Hui Lv
  • Ahmed Mostafa Khalil

Abstract

Based on fuzzy logic systems and prescribed performance technology, this paper investigated the stable tracking problem of a class of nonlinear systems with unknown dead-zone inputs. Firstly, the original system is transformed into an equivalent system. Then, a Nussbaum-type function is added in the predefined performance controller to estimate the unknown control direction, and the boundedness of all signals in the closed-loop system is guaranteed. In addition, tracking errors will always remain within the prescribed performance boundaries. Finally, a comparative simulation example shows the effectiveness of the method proposed in this paper.

Suggested Citation

  • Chunzhi Yang & Song Xu & Hui Lv & Ahmed Mostafa Khalil, 2020. "Fuzzy Adaptive Control for a Class of Nonlinear System with Prescribed Performance and Unknown Dead-Zone Inputs," Journal of Mathematics, Hindawi, vol. 2020, pages 1-8, December.
    • Handle: RePEc:hin:jjmath:8849831
    DOI: 10.1155/2020/8849831
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