A LQR Neural Network Control Approach for Fast Stabilizing Rotary Inverted Pendulums

2021 ◽  
Author(s):  
Huynh Vinh Nghi ◽  
Dinh Phuoc Nhien ◽  
Dang Xuan Ba
Keyword(s):  
Neural Network ◽  
Network Control ◽  
Neural Network Control ◽  
Control Approach

Neural Network Control Approach for an Industrial Furnace

2003 ◽  
pp. 121-125 ◽  
Author(s):  
S. Martineau ◽  
E. Gaura ◽  
K. J. Burnham ◽  
O. C. L. Haas
Keyword(s):  
Neural Network ◽  
Network Control ◽  
Neural Network Control ◽  
Industrial Furnace ◽  
Control Approach

scholarly journals Neural Network Control for the Probe Landing Based on Proportional Integral Observer

2015 ◽  
Vol 2015 ◽  
pp. 1-10
Author(s):  
Yuanchun Li ◽  
Tianhao Ma ◽  
Bo Zhao
Keyword(s):  
Neural Network ◽  
Control Algorithm ◽  
Control Method ◽  
Landing Site ◽  
Network Control ◽  
Control Law ◽  
Neural Network Control ◽  
Control Approach ◽  
Proportional Integral ◽  
The Neural Network

For the probe descending and landing safely, a neural network control method based on proportional integral observer (PIO) is proposed. First, the dynamics equation of the probe under the landing site coordinate system is deduced and the nominal trajectory meeting the constraints in advance on three axes is preplanned. Then the PIO designed by using LMI technique is employed in the control law to compensate the effect of the disturbance. At last, the neural network control algorithm is used to guarantee the double zero control of the probe and ensure the probe can land safely. An illustrative design example is employed to demonstrate the effectiveness of the proposed control approach.

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