4.7 Article

Adaptive Dynamic Surface Fuzzy Control for State Constrained Time-Delay Nonlinear Nonstrict Feedback Systems With Unknown Control Directions

期刊

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2020.2969289

关键词

Adaptive systems; Nonlinear systems; Delays; Control design; Fuzzy control; Lyapunov methods; Dynamic surface fuzzy control; nonstrict feedback systems; tan -type barrier Lyapunov function (BLF); time delay

资金

  1. Natural Science Foundation of China [61703232]
  2. Natural Science Foundation of Shandong Province [ZR2017MF068, ZR2017QF013]

向作者/读者索取更多资源

This article proposes an adaptive dynamic surface fuzzy control method for a class of nonstrict feedback systems subject to state constraints with unknown control directions, time-delay, and external disturbances. It solves the problem of unknown control direction using the Nussbaum gain technique and eliminates the effect of unknown time-varying delay by introducing a compounding type Lyapunov function. Additionally, an adaptive tracking controller is constructed based on the fuzzy backstepping method to ensure that constrained states are not violated and all closed-loop trajectory signals remain bounded. The effectiveness of the results is illustrated through simulations.
This article proposes an adaptive dynamic surface fuzzy control method for a class of nonstrict feedback systems. The systems are subject to state constraints with unknown control directions, time-delay, and external disturbances. The problem of unknown control direction is solved by using the Nussbaum gain technique, and the effect of unknown delay which is time varying is eliminated by introducing compounding type Lyapunov function. Furthermore, based on the fuzzy backstepping method, an adaptive tracking controller is constructed which guarantees that the constrained states are not violated while all the closed-loop trajectory signals remain bounded. The effectiveness of the obtained results is illustrated via simulations.

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