scholarly journals Higher-order terminal sliding mode controller for fault accommodation of Lipschitz second-order nonlinear systems using fuzzy neural network

2021 ◽  
pp. 107186
Author(s):  
Mien Van
Keyword(s):  
Neural Network ◽  
Nonlinear Systems ◽  
Fuzzy Neural Network ◽  
Sliding Mode ◽  
Higher Order ◽  
Second Order ◽  
Sliding Mode Controller ◽  
Terminal Sliding Mode ◽  
Fault Accommodation ◽  
Fuzzy Neural

scholarly journals Adaptive Backstepping Fuzzy Neural Network Fractional-Order Control of Microgyroscope Using a Nonsingular Terminal Sliding Mode Controller

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Juntao Fei ◽  
Xiao Liang
Keyword(s):  
Neural Network ◽  
Fractional Order ◽  
Fuzzy Neural Network ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Terminal Sliding Mode ◽  
Nonsingular Terminal Sliding Mode ◽  
Control Scheme ◽  
Fuzzy Neural ◽  
Neural Network Compensator

An adaptive fractional-order nonsingular terminal sliding mode controller for a microgyroscope is presented with uncertainties and external disturbances using a fuzzy neural network compensator based on a backstepping technique. First, the dynamic of the microgyroscope is transformed into an analogical cascade system to guarantee the application of a backstepping design. Then, a fractional-order nonsingular terminal sliding mode surface is designed which provides an additional degree of freedom, higher precision, and finite convergence without a singularity problem. The proposed control scheme requires no prior knowledge of the unknown dynamics of the microgyroscope system since the fuzzy neural network is utilized to approximate the upper bound of the lumped uncertainties and adaptive algorithms are derived to allow online adjustment of the unknown system parameters. The chattering phenomenon can be reduced simultaneously by the fuzzy neural network compensator. The stability and finite time convergence of the system can be established by the Lyapunov stability theorem. Finally, simulation results verify the effectiveness of the proposed controller and the comparison of root mean square error between different fractional orders and integer order is given to signify the high precision tracking performance of the proposed control scheme.

A fuzzy neural network approximator with fast terminal sliding mode and its applications

2004 ◽  
Vol 148 (3) ◽  
pp. 469-486 ◽  
Author(s):  
Shuanghe Yu ◽  
Xinghuo Yu ◽  
Zhihong Man
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Sliding Mode ◽  
Terminal Sliding Mode ◽  
Fast Terminal Sliding Mode ◽  
Fuzzy Neural
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