Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging

Han-Xiong Li; H. Deng

doi:10.1109/ISIC.2004.1387687

Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

An intelligence-based modeling method is proposed for the curing process - a nonlinear parabolic distributed parameter systems (DPSs). The proposed modeling method combines model reduction techniques and intelligence based identification methods of nonlinear ODE (ordinary differential equation) systems. The developed neural network model is of state space form and fits the general model-based controller formulations, so that the control techniques used for ODE models can be directly applied. Moreover an approximate decoupling-control is developed to replace PID controllers originally equipped for the cure process for a better cure performance. © 2004 IEEE.

Original language	English
Title of host publication	Proceedings of the 2004 IEEE International Symposium on Intelligent Control
Publisher	IEEE
Pages	228-233
ISBN (Print)	0-7803-8635-3
DOIs	https://doi.org/10.1109/ISIC.2004.1387687
Publication status	Published - Sept 2004
Event	2004 IEEE International Symposium on Intelligent Control (2004 ISIC) - The Grand Hotel, Taipei, Taiwan, China Duration: 2 Sept 2004 → 4 Sept 2004

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Name
ISSN (Print)	2158-9860

Conference

Conference	2004 IEEE International Symposium on Intelligent Control (2004 ISIC)
Place	Taiwan, China
City	Taipei
Period	2/09/04 → 4/09/04

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10.1109/ISIC.2004.1387687

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@inproceedings{9b74a966c3254c389904d6880954a9ad,

title = "Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging",

abstract = "An intelligence-based modeling method is proposed for the curing process - a nonlinear parabolic distributed parameter systems (DPSs). The proposed modeling method combines model reduction techniques and intelligence based identification methods of nonlinear ODE (ordinary differential equation) systems. The developed neural network model is of state space form and fits the general model-based controller formulations, so that the control techniques used for ODE models can be directly applied. Moreover an approximate decoupling-control is developed to replace PID controllers originally equipped for the cure process for a better cure performance. {\textcopyright} 2004 IEEE.",

author = "Han-Xiong Li and H. Deng",

year = "2004",

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doi = "10.1109/ISIC.2004.1387687",

language = "English",

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publisher = "IEEE",

pages = "228--233",

booktitle = "Proceedings of the 2004 IEEE International Symposium on Intelligent Control",

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note = "2004 IEEE International Symposium on Intelligent Control (2004 ISIC) ; Conference date: 02-09-2004 Through 04-09-2004",

}

Li, H-X & Deng, H 2004, Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging. in Proceedings of the 2004 IEEE International Symposium on Intelligent Control. IEEE, pp. 228-233, 2004 IEEE International Symposium on Intelligent Control (2004 ISIC), Taipei, Taiwan, China, 2/09/04. https://doi.org/10.1109/ISIC.2004.1387687

Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging. / Li, Han-Xiong; Deng, H.
Proceedings of the 2004 IEEE International Symposium on Intelligent Control. IEEE, 2004. p. 228-233.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AU - Li, Han-Xiong

AU - Deng, H.

PY - 2004/9

Y1 - 2004/9

N2 - An intelligence-based modeling method is proposed for the curing process - a nonlinear parabolic distributed parameter systems (DPSs). The proposed modeling method combines model reduction techniques and intelligence based identification methods of nonlinear ODE (ordinary differential equation) systems. The developed neural network model is of state space form and fits the general model-based controller formulations, so that the control techniques used for ODE models can be directly applied. Moreover an approximate decoupling-control is developed to replace PID controllers originally equipped for the cure process for a better cure performance. © 2004 IEEE.

AB - An intelligence-based modeling method is proposed for the curing process - a nonlinear parabolic distributed parameter systems (DPSs). The proposed modeling method combines model reduction techniques and intelligence based identification methods of nonlinear ODE (ordinary differential equation) systems. The developed neural network model is of state space form and fits the general model-based controller formulations, so that the control techniques used for ODE models can be directly applied. Moreover an approximate decoupling-control is developed to replace PID controllers originally equipped for the cure process for a better cure performance. © 2004 IEEE.

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M3 - RGC 32 - Refereed conference paper (with host publication)

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BT - Proceedings of the 2004 IEEE International Symposium on Intelligent Control

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ER -

Hybrid spectral/intelligent modeling and decoupling control for a nonlinear distributed parameter system in IC packaging

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