Modeling and Control of Color Xerographic Processes

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Departmental Papers (ESE)
General Robotics, Automation, Sensing and Perception Laboratory
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Groff, Richard
Khargonekar, Pramod
Thieret, Tracy
Mestha, L. K
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The University of Michigan and Xerox's Wilson Research Center have been collaborating on problems in color management systems since 1996, supported in part by an NSF GOALI grant. The paper is divided into three sections. The first discusses the basics of xerography and areas where systems methodology can have a potential impact. The second section describes the authors' approach to the approximation of color space transformations using piecewise linear approximants and the graph intersection algorithm, with a brief review of some of the analytical and numerical results. The last section expounds on some of the benefits and difficulties of industry-university-government collaboration.

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1999-12-07
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Departmental Papers (ESE)
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2023-05-17T02:16:40.000
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Copyright 1999 IEEE. Reprinted from Proceedings of the 38th Conference on Decision & Control, Volume 2, 1999, pages 1697-1702. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. NOTE: At the time of publication, author Daniel Koditschek was affiliated with the University of Michigan. Currently, he is a faculty member in the Department of Electrical and Systems Engineering at the University of Pennsylvania.
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