scholarly journals Global tip-tilt and high order aberrations correctionwith plenoptic wavefront sensor in closed-loop AOsystems

2021 ◽  
Author(s):  
Zhentao Zhang ◽  
Timothy Morris ◽  
Nazim Bharmal ◽  
Yonghui Liang
2014 ◽  
Vol 55 (5) ◽  
pp. 662 ◽  
Author(s):  
Byoung Seon Kim ◽  
Byung Jae Kim ◽  
In Young Chung ◽  
Seong Wook Seo ◽  
Ji Myong Yoo ◽  
...  

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Xiaoyan Qin

This paper studies the problem of the adaptive neural control for a class of high-order uncertain stochastic nonlinear systems. By using some techniques such as the backstepping recursive technique, Young’s inequality, and approximation capability, a novel adaptive neural control scheme is constructed. The proposed control method can guarantee that the signals of the closed-loop system are bounded in probability, and only one parameter needs to be updated online. One example is given to show the effectiveness of the proposed control method.


2009 ◽  
Vol 9 (2) ◽  
pp. 24-24 ◽  
Author(s):  
S. L. Elliott ◽  
S. S. Choi ◽  
N. Doble ◽  
J. L. Hardy ◽  
J. W. Evans ◽  
...  

2017 ◽  
pp. 159-197
Author(s):  
Daniel Malacara-Hernández ◽  
Zacarías Malacara-Hernández

Medicine ◽  
2018 ◽  
Vol 97 (18) ◽  
pp. e0618 ◽  
Author(s):  
Jing Wang ◽  
Yanlin Ren ◽  
Kun Liang ◽  
Zhengxuan Jiang ◽  
Liming Tao

2018 ◽  
Vol 41 (7) ◽  
pp. 1888-1895
Author(s):  
Fangzheng Gao ◽  
Yanling Shang ◽  
Yuqiang Wu ◽  
Yanhong Liu

This paper considers the problem of global fixed-time stabilization for a class of uncertain high-order nonlinear systems. One distinct characteristic of this work is that the system under consideration possesses the dead-zone input nonlinearity. By delicately combining the sign function with a power integrator technique, a state feedback controller is designed such that the states of the resulting closed-loop system converge to the origin within a fixed time. A simulation example is provided to illustrate the effectiveness of the proposed approach.


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