Adaptive fixed‐time fuzzy control for nonlinear systems with actuator faults

2022 ◽  
Author(s):  
Wen Bai ◽  
Peter Xiaoping Liu ◽  
Huanqing Wang
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Fixed Time ◽  
Actuator Faults

Fixed-Time Fuzzy Control for a Class of Nonlinear Systems

2020 ◽  
pp. 1-8 ◽  
Author(s):  
Yumei Sun ◽  
Fang Wang ◽  
Zhi Liu ◽  
Yun Zhang ◽  
C. L. Philip Chen
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Fixed Time

scholarly journals Adaptive Fixed-time Control for Nonlinear Systems Against Time-varying Actuator Faults

2021 ◽  
Author(s):  
Yu Mei ◽  
Jing Wang ◽  
Ju H. Park ◽  
Kaibo Shi ◽  
Hao Shen
Keyword(s):  
Nonlinear Systems ◽  
Fault Tolerant ◽  
Tracking Error ◽  
Small Neighborhood ◽  
Fixed Time ◽  
Time Interval ◽  
Time Varying ◽  
Actuator Faults ◽  
Time Control ◽  
Control Scheme

Abstract The adaptive fixed-time control problem for nonlinear systems with time-varying actuator faults is investigated in this paper. A novel adaptive fixed-time controller is designed via combining the Lyapunov stability theory with the backstepping method. It can be adapted to both system uncertainties and unknown actuator faults. Compared with the existing fault-tolerant control schemes subject to actuator faults, the adaptive fixed-time neural networks control scheme can make sure that the tracking error is convergent in a small neighborhood of the origin within a fixed-time interval, and it does not depend on the original states of the system and actuator faults. In light of the control scheme proposed in this paper, the fixed-time stability of the closed-loop system can be guaranteed by theoretical analysis, and a numerical example is provided to verify the effectiveness of obtained theoretical results.

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