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Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/1187

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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