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Advanced packaging automation for opto-electronic systems
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1187
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| Title: | Advanced packaging automation for opto-electronic systems |
| Authors: | Bhat, Shubham Krishna
Kurzweg, Timothy P.
Guez, Allon |
| Keywords: | Optical Automation
Optical Microsystems
Alignment
Packaging
Learning Model Identification |
| Issue Date: | 19-Oct-2004 |
| Publisher: | Elsevier Science B.V. |
| Citation: | Virology, 351(2), 271-279. http://dx.doi.org/10.1016/j.virol.2006.01.051 |
| Abstract: | In this paper, we present a learning control
algorithm used in our research of advanced opto-electronic
automation, which yields high performance, low cost optoelectronic
alignment and packaging through the use of
intelligent control theory and system-level modeling. The
learning loop technique is activated at a lower sampling
frequency for specific and appropriate tasks, to improve the
knowledge based control model. Our automation technique
is based on constructing an a priori knowledge based model,
specific to the assembled package’s optical power
propagation characteristics. From this model, a piece-wise
linear inverse model is created and used in the “feedforward”
loop. This model can be updated for increased
accuracy through the learning loop. |
| URI: | http://hdl.handle.net/1860/1187 |
| Appears in Collections: | Faculty Research and Publications (ECE)
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