scholarly journals Polarization-sensitive transfer matrix modeling for displacement measuring interferometry

2020 ◽  
Vol 59 (25) ◽  
pp. 7694
Author(s):  
Angus Bridges ◽  
Andrew Yacoot ◽  
Thomas Kissinger ◽  
Ralph P. Tatam
Keyword(s):  
Transfer Matrix ◽  
Matrix Modeling

Transfer matrix modeling of avalanche photodiode

2012 ◽  
Vol 5 (3) ◽  
pp. 317-321 ◽  
Author(s):  
Saeed Olyaee ◽  
Mohammad Soroosh ◽  
Mahdieh Izadpanah
Keyword(s):  
Transfer Matrix ◽  
Avalanche Photodiode ◽  
Matrix Modeling

Performance Enhancement of Polymer-Free Carbon Nanotube Solar Cells via Transfer Matrix Modeling

2015 ◽  
Vol 6 (1) ◽  
pp. 1501345 ◽  
Author(s):  
Moritz Pfohl ◽  
Konstantin Glaser ◽  
Jens Ludwig ◽  
Daniel D. Tune ◽  
Simone Dehm ◽  
...  
Keyword(s):  
Solar Cells ◽  
Carbon Nanotube ◽  
Transfer Matrix ◽  
Performance Enhancement ◽  
Free Carbon ◽  
Matrix Modeling

scholarly journals Transfer Matrix Modeling of Synthetic-Jet Actuators

2012 ◽  
Vol 7 (2) ◽  
pp. 209-223
Author(s):  
Sam YANG ◽  
Fei LIU ◽  
Matias OYARZUN ◽  
Miguel PALAVICCINI ◽  
Louis CATTAFESTA
Keyword(s):  
Transfer Matrix ◽  
Synthetic Jet ◽  
Synthetic Jet Actuators ◽  
Matrix Modeling ◽  
Jet Actuators

Transfer Matrix Modeling of Systems With Noncollocated Feedback

2010 ◽  
Vol 132 (6) ◽  
Author(s):  
Ryan W. Krauss ◽  
Wayne J. Book
Keyword(s):  
Transfer Matrix ◽  
Transfer Matrix Method ◽  
Matrix Method ◽  
Transfer Functions ◽  
Flexible Structures ◽  
Control Design ◽  
Feedback Loops ◽  
Flexible Robot ◽  
Matrix Modeling ◽  
Primary Contribution

The transfer matrix method (TMM) can be a powerful tool for modeling flexible structures under feedback control. It is particularly well suited to modeling structures composed of serially connected elements. The TMM is capable of modeling continuous elements such as beams or flexible robot links without discretization. The ability to incorporate controller transfer functions into the transfer matrix model of the system makes it a useful approach for control design. A limitation of the traditional formulation of the TMM is that it can only model feedback where the actuators and sensors are strictly collocated. The primary contribution of this paper is an algorithm for modeling noncollocated feedback with the TMM. Two cases of noncollocated sensors are considered (upstream and downstream). The approach is experimentally verified on a flexible robot that has one upstream and one downstream sensor in its feedback loops.

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