@inproceedings{bcd93b49eefc47dba35147aad0821465,
title = "Fuzzy Finite-Time Adaptive Tracking Control for Nonlinear Systems with External Disturbances",
abstract = "This paper addresses the fuzzy adaptive finite-time control problem for nonlinear systems with unknown nonlinearities and external disturbances. Fuzzy logic systems are employed to approximate the unknown nonlinear functions within the control framework. A dynamic surface control approach, integrated with first-order filters, is adopted to avoid the {\textquotedblleft}complexity explosion{\textquotedblright} issue inherent in conventional backstepping design. By incorporating adaptive backstepping and finite-time stability theory, an adaptive fuzzy control scheme is developed, ensuring that all closed-loop signals remain bounded within finite time despite uncertainties and disturbances. Simulation results demonstrate the effectiveness and feasibility of the proposed method.",
keywords = "Adaptive control, Backstepping control, Finite-time control",
author = "Qingguang Zhao and Jian Zhang and Lei Xing",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 4th International Conference on Cognitive Computation and Systems, ICCCS 2025 ; Conference date: 22-11-2025 Through 23-11-2025",
year = "2026",
doi = "10.1007/978-981-95-8981-4\_28",
language = "英语",
isbn = "9789819589807",
series = "Communications in Computer and Information Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "325--336",
editor = "Bin Xu and Hong Cheng and Jianmin Li",
booktitle = "Cognitive Computation and Systems - 4th International Conference, ICCCS 2025, Revised Selected Papers",
address = "德国",
}