Fuzzy Finite-Time Command Filtering Output Feedback Control of Nonlinear Systems

This article presents a fuzzy finite-time command filtering output feedback control method for a class of nonlinear systems. A fast convergent output feedback control algorithm based on backstepping finite-time command filtering is developed. Fuzzy logic system is used to estimate uncertain function...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2022-01, Vol.30 (1), p.97-107
Main Authors: Wang, Libin, Wang, Huanqing, Liu, Peter Xiaoping, Ling, Song, Liu, Siwen
Format: Article
Language:English
Subjects:
Algorithms
Backstepping
Command filtering
Control algorithms
Control methods
Control systems
Control theory
Convergence
Error compensation
Feedback control
Filtration
finite-time convergence
Fuzzy logic
fuzzy logic system (FLS)
Fuzzy systems
Mathematical analysis
Nonlinear control
Nonlinear systems
Observers
Output feedback
State observers
Tracking errors
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Summary:This article presents a fuzzy finite-time command filtering output feedback control method for a class of nonlinear systems. A fast convergent output feedback control algorithm based on backstepping finite-time command filtering is developed. Fuzzy logic system is used to estimate uncertain functions in nonlinear systems. A fuzzy state observer is designed to measure the unknown state. The developed finite-time command filtering feedback control method overcomes well the computational complexity problem due to the calculation of the derivatives of virtual control signals. A compensation mechanism is also introduced to compensate for the error caused by the filter. The proposed method ensures not only that all signals in the closed-loop system are finite-time bound, but also that the tracking error converges to a small neighborhood around the origin. The effectiveness of the proposed method is demonstrated in the simulation results.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2020.3032784