Open AccessObserver‐based adaptive fuzzy dynamic surface control of non‐linear non‐strict feedback system
Author(s) -
Wang Na,
Tong Shaocheng,
Li Yongming
Publication year - 2017
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2017.0517
Subject(s) - control theory (sociology) , observer (physics) , fuzzy logic , fuzzy control system , bounded function , computer science , state observer , adaptive control , property (philosophy) , scheme (mathematics) , control engineering , mathematics , control (management) , nonlinear system , engineering , artificial intelligence , physics , quantum mechanics , mathematical analysis , philosophy , epistemology
This study develops a scheme of an adaptive fuzzy dynamic surface control (DSC) for a non‐linear non‐strict feedback system with immeasurable states. By utilising the universal approximation property of a fuzzy logic system, a state observer is designed to estimate the unmeasured states. Based on the back‐stepping DSC design technique, an adaptive fuzzy output feedback control design method is developed. The proposed method can overcome the ‘explosion of complexity’ problem, and also can eliminate the limitation of the measurable states. It is proved that the control method can guarantee that all the signals in the closed‐loop system are bounded and the system output can track the given reference signal well. The simulation results are provided to demonstrate the effectiveness of the proposed control method.