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Volume: 16 | Article ID: art00069_1
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Robust Control and Diagnostic Strategies for Xerographic Printing
Perry Y. Li
  DOI :  10.2352/ISSN.2169-4451.2000.16.1.art00069_1  Published Online :  January 2000
Abstract

In this paper, we outline two strategies for the maintainence and optimization of the printing quality of xerographic systems. The first strategy is concerned with the management of the effect of disturbances and system variations in the context of control of the tone reproduction curve via a robust control methodology. The second strategy deals with larger scale faults and capability degradation in the xerographic process. In this case, a Bayesian Network based diagnostics strategy is proposed to detect the fault state and the state of the capability of the printer. Based on these, the controller be can reconfigured so as to optimize the printer's performance under degraded mode.

Journal Title : NIP & Digital Fabrication Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/ISSN.2169-4451.2000.16.1.art00069_1
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Perry Y. Li, "Robust Control and Diagnostic Strategies for Xerographic Printing"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP16),  2000,  pp 261 - 266,  https://doi.org/10.2352/ISSN.2169-4451.2000.16.1.art00069_1

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Copyright © Society for Imaging Science and Technology 2000
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NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(20000101)2000:1L.261;1-
nip_v2000n1/splitsection69.xml
/ist/nipdf/2000/00002000/00000001/art00069
Articles
Robust Control and Diagnostic Strategies for Xerographic Printing
LiPerry Y.
01012000
2000
1
261
266
2000
In this paper, we outline two strategies for the maintainence and optimization of the printing quality of xerographic systems. The first strategy is concerned with the management of the effect of disturbances and system variations in the context of control of the tone reproduction curve via a robust control methodology. The second strategy deals with larger scale faults and capability degradation in the xerographic process. In this case, a Bayesian Network based diagnostics strategy is proposed to detect the fault state and the state of the capability of the printer. Based on these, the controller be can reconfigured so as to optimize the printer's performance under degraded mode.