Low-cost robust adaptive control of nonlinear uncertain systems with application to helicopters

2016 ◽  
Author(s):  
Zhixi Shen ◽  
Shuyan Zhou ◽  
Yongduan Song
Keyword(s):  
Adaptive Control ◽  
Uncertain Systems ◽  
Low Cost ◽  
Robust Adaptive Control ◽  
Nonlinear Uncertain Systems ◽  
Robust Adaptive

Robust adaptive control for nonlinear uncertain systems

Automatica ◽  
2003 ◽  
Vol 39 (3) ◽  
pp. 551-556 ◽  
Author(s):  
Wassim M. Haddad ◽  
Tomohisa Hayakawa ◽  
VijaySekhar Chellaboina
Keyword(s):  
Adaptive Control ◽  
Uncertain Systems ◽  
Robust Adaptive Control ◽  
Nonlinear Uncertain Systems ◽  
Robust Adaptive

scholarly journals Robust Adaptive Control for Nonlinear Uncertain Systems Using Type-2 Fuzzy Neural Network System

2011 ◽  
Vol 2011 ◽  
pp. 1-25
Author(s):  
Ching-Hung Lee ◽  
Yu-Ching Lin
Keyword(s):  
Neural Network ◽  
Uncertain Systems ◽  
Fuzzy Neural Network ◽  
Learning Algorithm ◽  
Robust Adaptive Control ◽  
Control Scheme ◽  
Fuzzy Neural ◽  
Nonlinear Uncertain Systems ◽  
Robust Adaptive

This paper proposes a novel intelligent control scheme using type-2 fuzzy neural network (type-2 FNN) system. The control scheme is developed using a type-2 FNN controller and an adaptive compensator. The type-2 FNN combines the type-2 fuzzy logic system (FLS), neural network, and its learning algorithm using the optimal learning algorithm. The properties of type-1 FNN system parallel computation scheme and parameter convergence are easily extended to type-2 FNN systems. In addition, a robust adaptive control scheme which combines the adaptive type-2 FNN controller and compensated controller is proposed for nonlinear uncertain systems. Simulation results are presented to illustrate the effectiveness of our approach.

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