Adaptive neural network controller for robot manipulator systems

2002 ◽  
Author(s):  
S.K. Tso ◽  
N.L. Lin
Keyword(s):  
Neural Network ◽  
Robot Manipulator ◽  
Adaptive Neural Network ◽  
Neural Network Controller ◽  
Network Controller

scholarly journals Adaptive Neural Network Control with Backstepping for Surface Ships with Input Dead-Zone

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Guoqing Xia ◽  
Xingchao Shao ◽  
Ang Zhao ◽  
Huiyong Wu
Keyword(s):  
Neural Network ◽  
Explicit Knowledge ◽  
Dead Zone ◽  
Nonlinear Function ◽  
Lyapunov Theory ◽  
Adaptive Neural Network ◽  
Neural Network Controller ◽  
Network Controller ◽  
Adaptive Neural Network Control ◽  
Fuzzy Logic Technique

This paper addresses the problem of adaptive neural network controller with backstepping technique for fully actuated surface vessels with input dead-zone. The combination of approximation-based adaptive technique and neural network system is used for approximating the nonlinear function of the ship plant. Through backstepping and Lyapunov theory synthesis, an indirect adaptive network controller is derived for dynamic positioning ships without dead-zone property. In order to improve the control effect, a dead-zone compensator is derived using fuzzy logic technique to handle the dead-zone nonlinearity. The main advantage of the proposed controller is that it can be designed without explicit knowledge about the ship motion model, and dead-zone nonlinearity is well compensated. A set of simulations is carried out to verify the performance of the proposed controller.

Adaptive Neural Network Controller Design for a Blended-Wing UAV with Complex Damage

2018 ◽  
Vol 46 (2) ◽  
pp. 141-149
Author(s):  
Kijoon Kim ◽  
Jongmin Ahn ◽  
Seungkeun Kim ◽  
Jinyoung Suk
Keyword(s):  
Neural Network ◽  
Controller Design ◽  
Adaptive Neural Network ◽  
Neural Network Controller ◽  
Network Controller
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