Premium
Adaptive fuzzy constraint control for switched nonlinear systems in nonstrict feedback form
Author(s) -
Tang Li,
Yang Meiying,
Sun Jing
Publication year - 2021
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.3277
Subject(s) - backstepping , control theory (sociology) , fuzzy logic , constraint (computer aided design) , nonlinear system , controller (irrigation) , bounded function , fuzzy control system , computer science , mathematical optimization , adaptive control , mathematics , control (management) , artificial intelligence , mathematical analysis , physics , geometry , quantum mechanics , agronomy , biology
Summary In this paper, the adaptive fuzzy controller design problem is investigated for a class of switched nonlinear systems in nonstrict feedback form, in which the unknown functions are considered and are approximated. Moreover, the system states are constrained in corresponding compact. By using Barrier Lypunov function method and backstepping technique, the adaptive fuzzy controller is designed such that all the signals in the closed‐loop system are bounded, the system output can track the desired signal to small compact, and all the system states satisfy the constraint conditions. Finally, the simulation results show the effectiveness of the proposed method.