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Observer-Based Finite-Time Adaptive Fuzzy Control With Prescribed Performance for Nonstrict-Feedback Nonlinear Systems.
- Source :
- IEEE Transactions on Fuzzy Systems; Mar2022, Vol. 30 Issue 3, p767-778, 12p
- Publication Year :
- 2022
-
Abstract
- This article considers the problem of finite-time adaptive fuzzy prescribed performance control (PPC) via output-feedback for nonstrict-feedback nonlinear systems. The fuzzy state observer is designed to estimate the unmeasured system states. To rapidly approximate the derivative of virtual signal, a novel finite-time command filter is proposed. The fractional power error compensation mechanism is established to remove filtered error. By integrating the PPC and command filter technique into backstepping recursive design, a finite-time adaptive output-feedback controller is constructed, and the stability of closed-loop system is strictly proved. The designed control strategy shows that the closed-loop system is practical finite-time stable, and the output tracking error converges to a residual set within prescribed performance bound in finite time. Finally, a numerical comparison and practical examples are provided to demonstrate the validity of the developed finite-time control algorithm. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10636706
- Volume :
- 30
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Fuzzy Systems
- Publication Type :
- Academic Journal
- Accession number :
- 155696367
- Full Text :
- https://doi.org/10.1109/TFUZZ.2020.3048518