scholarly journals Disturbance Rejection Attitude Controller Design for Launch Vehicle based on Orthogonal Function Neural Network

2018 ◽  
Vol 1039 ◽  
pp. 012046
Author(s):  
Pei Wang ◽  
Mei Bo Lv ◽  
Zhi Lei Ge ◽  
Zi Qi Zhang
2011 ◽  
Vol 467-469 ◽  
pp. 1505-1510
Author(s):  
Dan Liu ◽  
Ni Hong Wang ◽  
Gui Ying Li

This paper proposes a new method that it uses the neural network to construct the solution of the Hamiltion-Jacobi inequality (HJ), and it carries on the optimization of the neural network weight using the genetic algorithm. This method causes the Lyapunov function to satisfy the HJ, avoides solving the HJ parital differential inequality, and overcomes the difficulty which the HJ parital differential inequality analysis. Beside this, it proposes a design method of a nonlinear state feedback L2-gain disturbance rejection controller based on HJ, and introduces general structure of L2-gain disturbance rejection controller in the form of neural network. The simulation demonstrates the design of controller is feasible and the closed-loop system ensures a finite gain between the disturbance and the output.


2017 ◽  
Vol 54 (6) ◽  
pp. 1383-1389 ◽  
Author(s):  
Qixia Wu ◽  
Mingwei Sun ◽  
Zengqiang Chen ◽  
Zhihong Yang ◽  
Zenghui Wang

2010 ◽  
Vol 11 (4) ◽  
pp. 303-312 ◽  
Author(s):  
Byung-Chan Sun ◽  
Yong-Kyu Park ◽  
Woong-Rae Roh ◽  
Gwang-Rae Cho

Sign in / Sign up

Export Citation Format

Share Document