Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems.

Journal: IEEE transactions on cybernetics
Published Date:

Abstract

This article presents an adaptive fuzzy finite-time control (AFFTC) method for nonstrict-feedback nonlinear systems (NFNSs) with unknown dynamics. With the aid of the backstepping technique, by establishing the smooth switch function (SSF), a novel C AFFTC strategy is recursively constructed, which counteracts the effect of nonstrict-feedback structure and unknown dynamics. Different from the reporting finite-time control achievements, the singularity hindrance derived from the differentiating virtual control law is availably surmounted. Moreover, the developed AFFTC strategy can drive the tracking error to converge into a small neighborhood of the origin in a finite time. Simulation results are conducted to substantiate the efficacy of theoretical findings.

Authors

  • Yongchao Liu
    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, China; Key laboratory of Intelligent Technology and Application of Marine Equipment (Harbin Engineering University), Ministry of Education, Harbin, 150001, China.
  • Qidan Zhu
    College of Automation, Harbin Engineering University, Harbin 150001, China.