Indirect adaptive fuzzy control for input and output constrained nonlinear systems using a barrier Lyapunov function

Yongming Li, Tieshan Li, Xingjian Jing

Research output: Journal article publicationJournal articleAcademic researchpeer-review

79 Citations (Scopus)


SUMMARYIn this paper, a novel indirect adaptive fuzzy controller is proposed for a class of uncertain nonlinear systems with input and output constrains. To address output and input constraints, a barrier Lyapunov function and an auxiliary design system are employed, respectively. The proposed approach is explored by employing fuzzy logic systems to tackle unknown nonlinear functions and combining the adaptive backstepping technique with adaptive fuzzy control design. Especially, the number of the online learning parameters are reduced to 2n in the closed-loop system. It is proved that the proposed control approach can guarantee that all the signals in the closed-loop system are bounded, and the input and output constraints are circumvented simultaneously. A numerical example with comparisons is provided to illustrate the effectiveness of the proposed approach.
Original languageEnglish
Pages (from-to)184-199
Number of pages16
JournalInternational Journal of Adaptive Control and Signal Processing
Issue number2
Publication statusPublished - 1 Feb 2014


  • backstepping design
  • barrier Lyapunov function
  • indirect adaptive fuzzy control
  • input and output constraints

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Signal Processing

Cite this