scholarly journals Adaptive Fuzzy Prescribed Performance Control for MIMO Stochastic Nonlinear Systems

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 76754-76767 ◽  
Author(s):  
Xinfeng Shao ◽  
Shaocheng Tong
Keyword(s):  
Nonlinear Systems ◽  
Stochastic Nonlinear Systems ◽  
Performance Control ◽  
Prescribed Performance ◽  
Adaptive Fuzzy ◽  
Prescribed Performance Control

scholarly journals Composite Adaptive Fuzzy Prescribed Performance Control of Nonlinear Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Xudong Cao ◽  
Jianjun Wang ◽  
Wei Xiang
Keyword(s):  
Nonlinear Systems ◽  
Initial Conditions ◽  
Performance Bounds ◽  
Fuzzy Logic Systems ◽  
Tracking Errors ◽  
Performance Control ◽  
Prescribed Performance ◽  
Adaptive Fuzzy ◽  
Prescribed Performance Control ◽  
Adaptation Law

This paper proposes an adaptive fuzzy prescribed performance control (PPC) method of a class of uncertain nonlinear systems. Different from the traditional PPC approach that requires the exact values of the initial conditions, by using a new type of performance function, the proposed PPC scheme together with a composite adaptation law works effectively even without the knowledge of initial conditions. Meanwhile, the constructed disturbance observer and fuzzy logic systems can estimate system uncertainties including external disturbances and fuzzy approximation errors. Under the proposed tracking controller, the boundedness of all involved signals is guaranteed, and the tracking errors satisfy the prescribed performance bounds all the time. Finally, simulation results show the efficacy of the proposed method.

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