scholarly journals Nonlinear analysis of a high-resolution optical wave-front control system

2002 ◽  
Author(s):  
E.W. Justh ◽  
P.S. Krishnaprasad ◽  
M.A. Vorontsov
Keyword(s):  
Control System ◽  
High Resolution ◽  
Nonlinear Analysis ◽  
Wave Front ◽  
Optical Wave

scholarly journals Analysis of a high-resolution optical wave-front control system

Automatica ◽  
2004 ◽  
Vol 40 (7) ◽  
pp. 1129-1141 ◽  
Author(s):  
E.W. Justh ◽  
P.S. Krishnaprasad ◽  
M.A. Vorontsov
Keyword(s):  
Control System ◽  
High Resolution ◽  
Wave Front ◽  
Optical Wave

scholarly journals Preliminary results of a high-resolution refractometer using the Hartmann-Shack wave-front sensor: part I

2003 ◽  
Vol 66 (3) ◽  
pp. 261-268
Author(s):  
Luis Alberto Carvalho ◽  
Antonio Carlos Romao ◽  
Marcos Stefani ◽  
Luiz Antonio Carvalho ◽  
Jarbas Caiado de Castro ◽  
...  
Keyword(s):  
High Resolution ◽  
Wave Front ◽  
Preliminary Results

scholarly journals Robot Control Using Alternative Trajectories Based on Inverse Errors in the Workspace

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Quoc Khanh Duong ◽  
Thanh Trung Trang ◽  
Thanh Long Pham
Keyword(s):  
Control System ◽  
High Resolution ◽  
Robot Control ◽  
Low Cost ◽  
Transmission System ◽  
Measuring System ◽  
Robot Calibration ◽  
Measuring Device ◽  
Calibration Solution ◽  
System Errors

It is easy to realize that most robots do not move to the desired endpoint (Tool Center Point (TCP)) using high-resolution noncontact instrumentation because of manufacturing and assembly errors, transmission system errors, and mechanical wear. This paper presents a robot calibration solution by changing the endpoint trajectories while maintaining the robot’s control system and device usages. Two independent systems to measure the endpoint positions, the robot encoder and a noncontact measuring system with a high-resolution camera, are used to determine the endpoint errors. A new trajectory based on the measured errors will be built to replace the original trajectory. The results show that the proposed method can significantly reduce errors; moreover, this is a low-cost solution and easy to apply in practice and calibration can be done cyclically. The only requirement for this method is a noncontact measuring device with high-resolution and located independently with the robot in calibration.

scholarly journals Assessment of Doppler Radar Radial Wind Observation Quality from Different Echo Sources for Assimilation during the Sydney 2014 Forecast Demonstration Project

2018 ◽  
Vol 35 (8) ◽  
pp. 1605-1620 ◽  
Author(s):  
Susan Rennie ◽  
Peter Steinle ◽  
Alan Seed ◽  
Mark Curtis ◽  
Yi Xiao
Keyword(s):  
Quality Control ◽  
Control System ◽  
Statistical Analysis ◽  
High Resolution ◽  
Radial Velocity ◽  
Numerical Weather Prediction ◽  
Doppler Radar ◽  
Weather Prediction ◽  
Demonstration Project ◽  
Prediction System

AbstractA new quality control system, primarily using a naïve Bayesian classifier, has been developed to enable the assimilation of radial velocity observations from Doppler radar. The ultimate assessment of this system is the assimilation of observations in a pseudo-operational numerical weather prediction system during the Sydney 2014 Forecast Demonstration Project. A statistical analysis of the observations assimilated during this period provides an assessment of the data quality. This will influence how observations will be assimilated in the future, and what quality control and errors are applicable. This study compares observation-minus-background statistics for radial velocities from precipitation and insect echoes. The results show that with the applied level of quality control, these echo types have comparable biases. With the latest quality control, the clear air observations of wind are apparently of similar quality to those from precipitation and are therefore suitable for use in high-resolution NWP assimilation systems.

Adaptive optics with advanced phase-contrast techniques II High-resolution wave-front control

2001 ◽  
Vol 18 (6) ◽  
pp. 1300 ◽  
Author(s):  
Eric W. Justh ◽  
Mikhail A. Vorontsov ◽  
Gary W. Carhart ◽  
Leonid A. Beresnev ◽  
P. S. Krishnaprasad
Keyword(s):  
High Resolution ◽  
Wave Front ◽  
Adaptive Optics ◽  
Phase Contrast ◽  
Advanced Phase

Optical wave front dislocations

1996 ◽  
Author(s):  
I. V. Basistiy ◽  
I. G. Marienko ◽  
Marat S. Soskin ◽  
Mikhail V. Vasnetsov
Keyword(s):  
Wave Front ◽  
Optical Wave

Sub-aperture stitching with scanning pentaprism testing optical wave-front

2010 ◽  
Author(s):  
Lihua Wang ◽  
Wei Yang ◽  
Lei Li ◽  
Shibin Wu ◽  
Zhaohen Lin
Keyword(s):  
Wave Front ◽  
Optical Wave
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