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IMA Journal of Mathematical Control and Information Advance Access originally published online on April 29, 2009
IMA Journal of Mathematical Control and Information 2009 26(2):197-211; doi:10.1093/imamci/dnp006
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© The author 2009. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

EP-based robustness analysis of optimal load allocation for boiler systems

Jason S. H. Tsai{dagger} and Yan Yi Du

Control System Laboratory, Department of Electrical Engineering, National Cheng Kung University, Tainan 701, Taiwan, People's Republic of China

Alex C. Dunn

AfriTek, Inc., 14019 Halprin Creek Dr., Cypress, TX 77429, USA

L. S. Shieh

Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005, USA

{dagger} Email: shtsai{at}mail.ncku.edu.tw

Received on September 15, 2008; Accepted on March 9, 2009

Based on evolutionary programming, a universal approach to examine the non-analytic solution robustness of an optimal allocation methodology for industrial boilers that is designed based on the second-order gradient method is proposed in this paper. The allocation algorithm is easy to implement without any specialized software and the precise robustness analysis considers the worst-case scenario when uncertainty factors are introduced into some of the boiler system parameters.

Keywords: robustness analysis; evolutionary programming; optimal load allocation.


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