IBLF-Based Finite-Time Adaptive Fuzzy Output-Feedback Control for Uncertain MIMO Nonlinear State-Constrained Systems
- Authors
- Wei, Yan; Wang, Yueying; Ahn, Choon Ki; Duan, Dengping
- Issue Date
- 11월-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Adaptive systems; Nonlinear systems; MIMO communication; Backstepping; Stability analysis; Fuzzy logic; Lyapunov methods; Adaptive fuzzy control; finite time; integral barrier Lyapunov function (iBLF); nonlinear systems; state constraints
- Citation
- IEEE TRANSACTIONS ON FUZZY SYSTEMS, v.29, no.11, pp.3389 - 3400
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Volume
- 29
- Number
- 11
- Start Page
- 3389
- End Page
- 3400
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/135898
- DOI
- 10.1109/TFUZZ.2020.3021733
- ISSN
- 1063-6706
- Abstract
- This article considers the problem of finite-time adaptive fuzzy output-feedback control design for multi-input-multioutput uncertain nonlinear systems subject to full state constraints. By employing the finite-time stability theory, a new finite-time adaptive fuzzy output-feedback control approach is proposed. An integral barrier Lyapunov functional is utilized to prevent all states from violating their constraints. Fuzzy logic systems are developed to approximate the uncertainties. A fuzzy state observer is constructed to estimate the unmeasurable states. Moreover, to handle the "explosion of complexity" issue in the backstepping control technique, a finite-time convergent differentiator is introduced to estimate the time derivatives of virtual control signals. The stability analysis showed that the control approach guarantees that all closed-loop signals are bounded, and the tracking errors converge to a small neighborhood of the origin in a finite time. Finally, the effectiveness of the proposed control scheme is confirmed by numerical simulations.
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