@inproceedings{72a6426bc2504db5a4a2affe2d17d51a,
title = "Adaptive Fuzzy Finite-Time Backstepping Control of Nonlinear Systems with Input Constraint and Hysteresis Nonlinearity",
abstract = "This paper investigates the adaptive finite-time tracking control issue for a class of nonlinear systems with input constraint, hysteresis nonlinearity, unmeasured states, and external disturbances. Based on the fuzzy logic systems (FLSs), a fuzzy state observer (FSO) is first designed to estimate the unmeasured states. Then, by using the finite-time stability theory, a novel backstepping control scheme is proposed without constructing the hysteresis inverse. The problem of 'explosion of complexity' caused by the derivative of virtual controllers is eliminated by utilizing the low-pass filter. Furthermore, a saturation dynamic filter is employed to address the input constraint. It is proved that the proposed controller guarantees that all the closed signals are semi-global practical finite-time stability (SGPFS), and the tracking error converges to a neighbourhood of the origin. Finally, simulation results are presented to validate the effectiveness of the proposed control scheme.",
keywords = "Backstepping, Finite Time Tracking, Fuzzy Logic Systems, Hysteresis, Input Constraint",
author = "Mengmeng Li and Yuan Li and Qinglin Wang",
note = "Publisher Copyright: {\textcopyright} 2021 Technical Committee on Control Theory, Chinese Association of Automation.; 40th Chinese Control Conference, CCC 2021 ; Conference date: 26-07-2021 Through 28-07-2021",
year = "2021",
month = jul,
day = "26",
doi = "10.23919/CCC52363.2021.9550350",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2436--2441",
editor = "Chen Peng and Jian Sun",
booktitle = "Proceedings of the 40th Chinese Control Conference, CCC 2021",
address = "United States",
}