Premium
Prescribed performance adaptive fuzzy control for nonstrict‐feedback nonlinear systems with dead zone outputs
Author(s) -
Su Hang,
Zhao Xiaoyu,
Zhang Weihai
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.3214
Subject(s) - backstepping , control theory (sociology) , fuzzy logic , dead zone , nonlinear system , controller (irrigation) , computer science , fuzzy control system , scheme (mathematics) , bounding overwatch , adaptive control , control engineering , control (management) , mathematics , engineering , artificial intelligence , mathematical analysis , agronomy , biology , oceanography , physics , quantum mechanics , geology
Summary This paper presents an adaptive fuzzy control scheme for a class of nonstrict‐feedback nonlinear systems with dead zone outputs and prescribed performance. By utilizing the monotonically increasing property of system bounding functions and the Nussbaum function, the design difficulties caused by the nonstrict‐feedback structure and dead zone output are overcome. Combining backstepping technique with prescribed performance algorithm, a feasible adaptive fuzzy controller is designed to guarantee the boundedness of all signals of the closed‐loop system and the prescribed tracking performance of the system. Finally, simulation results are depicted to illustrate the effectiveness of the proposed control approach.