Robust Adaptive Fuzzy Control of MIMO Nonlinear Systems with Higher-Order and Unmatched Uncertainties

2013 ◽  
Vol 2 (6) ◽  
pp. 172-180 ◽  
Author(s):  
Chiang-Cheng Chiang
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Higher Order ◽  
Mimo Nonlinear Systems ◽  
Adaptive Fuzzy ◽  
Unmatched Uncertainties ◽  
Robust Adaptive

scholarly journals Robust Adaptive Fuzzy Control for a Class of Uncertain MIMO Nonlinear Systems with Input Saturation

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Shenglin Wen ◽  
Ye Yan
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Design Parameters ◽  
Tracking Errors ◽  
External Disturbances ◽  
Mimo Nonlinear Systems ◽  
Adaptive Fuzzy ◽  
Control Scheme ◽  
Robust Adaptive

This paper studies the robust adaptive fuzzy control design problem for a class of uncertain multiple-input and multiple-output (MIMO) nonlinear systems in the presence of actuator amplitude and rate saturation. In the control scheme, fuzzy logic systems are used to approximate unknown nonlinear systems. To compensate the effect of input saturations, an auxiliary system is constructed and the actuator saturations then can be augmented into the controller. The modified tracking error is introduced and used in fuzzy parameter update laws. Furthermore, in order to deal with fuzzy approximation errors for unknown nonlinear systems and external disturbances, a robust compensation control is designed. It is proved that the closed-loop system obtainsH∞tracking performance through Lyapunov analysis. Steady and transient modified tracking errors are analyzed and the bound of modified tracking errors can be adjusted by tuning certain design parameters. The proposed control scheme is applicable to uncertain nonlinear systems not only with actuator amplitude saturation, but also with actuator amplitude and rate saturation. Detailed simulation results of a rigid body satellite attitude control system in the presence of parametric uncertainties, external disturbances, and control input constraints have been presented to illustrate the effectiveness of the proposed control scheme.

Adaptive fuzzy control of a class of MIMO nonlinear systems

2005 ◽  
Vol 151 (1) ◽  
pp. 59-77 ◽  
Author(s):  
Salim Labiod ◽  
Mohamed Seghir Boucherit ◽  
Thierry Marie Guerra
Keyword(s):  
Nonlinear Systems ◽  
Fuzzy Control ◽  
Adaptive Fuzzy Control ◽  
Mimo Nonlinear Systems ◽  
Adaptive Fuzzy
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