Observer-based finite-time adaptive fuzzy back-stepping control for MIMO coupled nonlinear systems.

Journal: Mathematical biosciences and engineering : MBE
Published Date:

Abstract

An attempt is made in this paper to devise a finite-time adaptive fuzzy back-stepping control scheme for a class of multi-input and multi-output (MIMO) coupled nonlinear systems with immeasurable states. In view of the uncertainty of the system, adaptive fuzzy logic systems (AFLSs) are used to approach the uncertainty of the system, and the unmeasured states of the system are estimated by the finite-time extend state observers (FT-ESOs), where the state of the observer is a sphere around the state of the system. The accuracy and efficiency of the control effect are ensured by combining the back-stepping and finite-time theory. It is proved that all the states of the closed-loop adaptive control system are semi-global practical finite-time stability (SGPFS) by the finite-time Lyapunov stability theorem, and the tracking errors of the system states converge to a tiny neighborhood of the origin in a finite time. The validity of this scheme is demonstrated by a simulation.

Authors

  • Chao Wang
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
  • Cheng Zhang
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Dan He
    IBM T.J. Watson Research, Yorktown Heights, NY, USA.
  • Jianliang Xiao
    Research Center for Intelligent Sensing, Zhejiang Lab, Hangzhou, 310000, China.
  • Liyan Liu
    Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.