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Recent Publications - Dale Seborg


[1] Singhal, A., Seborg, D. E.. Evaluation of a pattern matching method for the Tennessee Eastman challenge process. Journal of Process Control, 16:601-613, 2006.
[2] Singhal, A., Seborg, D. E.. Clustering multivariate time-series data. Journal of Chemometrics, 19:427-438, 2005.
[3] Singhal, A., Seborg, D. E.. Effect of data compression on pattern matching in historical data. Industrial & Engineering Chemistry Research, 44:3203-3212, 2005.
[4] Conner, J. S., Seborg, D. E.. Assessing the need for process re-identification. Industrial & Engineering Chemistry Research, 44:2767-2775, 2005.
[5] Zamprogna, E., Barolo, M., Seborg, D. E.. Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis. Journal of Process Control, 15:39-52, 2005.
[6] Oliveira-Esquerre, K. P., Seborg, D. E., Mori, M., Bruns, R. E.. Application of steady-state and dynamic modeling for the prediction of the BOD of an aerated lagoon at a pulp and paper mill - Part II. Nonlinear approaches. Chemical Engineering Journal, 105:61-69, 2004.
[7] Oliveira-Esquerre, K. P., Seborg, D. E., Bruns, R. E., Mori, M.. Application of steady-state and dynamic modeling for the prediction of the BOD of an aerated lagoon at a pulp and paper mill - Part I. Linear approaches. Chemical Engineering Journal, 104:73-81, 2004.
[8] Conner, J. S., Seborg, D. E.. An evaluation of MIMO input designs for process identification. Industrial & Engineering Chemistry Research, 43:3847-3854, 2004.
[9] Zamprogna, E., Barolo, M., Seborg, D. E.. Estimating product composition profiles in batch distillation via partial least squares regression. Control Engineering Practice, 12:917-929, 2004.
[10] Juricek, B. C., Seborg, D. E., Larimore, W. E.. Fault detection using canonical variate analysis. Industrial & Engineering Chemistry Research, 43:458-474, 2004.
[11] Loquasto, F., Seborg, D. E.. Monitoring model predictive control systems using pattern classification and neural networks. Industrial & Engineering Chemistry Research, 42:4689-4701, 2003.
[12] Chen, D., Seborg, D. E.. Design of decentralized PI control systems based on Nyquist stability analysis. Journal of Process Control, 13:27-39, 2003.
[13] Singhal, A., Seborg, D. E.. Pattern matching in historical batch data using PCA. IEEE Control Systems Magazine, 22:53-63, 2002.
[14] Chen, D., Seborg, D. E.. PI/PID controller design based on direct synthesis and disturbance rejection. Industrial & Engineering Chemistry Research, 41:4807-4822, 2002.
[15] Johannesmeyer, M. C., Singhal, A., Seborg, D. E.. Pattern matching in historical data. Aiche Journal, 48:2022-2038, 2002.
[16] Singhal, A., Seborg, D. E.. Pattern matching in multivariate time series databases using a moving-window approach. Industrial & Engineering Chemistry Research, 41:3822-3838, 2002.
[17] Juricek, B. C., Seborg, D. E., Larimore, W. E.. Identification of multivariable, linear, dynamic models: Comparing regression and subspace techniques. Industrial & Engineering Chemistry Research, 41:2185-2203, 2002.
[18] Chen, D., Seborg, D. E.. Multiloop PI/PID controller design based on Gershgorin bands. IEE Proceedings-Control Theory and Applications, 149:68-73, 2002.
[19] Chen, D., Seborg, D. E.. Relative gain array analysis for uncertain process models. Aiche Journal, 48:302-310, 2002.
[20] Chen, D., Seborg, D. E.. Robust Nyquist array analysis based on uncertainty descriptions from system identification. Automatica, 38:467-475, 2002.
[21] Juricek, B. C., Seborg, D. E., Larimore, W. E.. Identification of the Tennessee Eastman challenge process with subspace methods. Control Engineering Practice, 9:1337-1351, 2001.
[22] Zamprogna, E., Barolo, M., Seborg, D. E.. Composition estimations in a middle-vessel batch distillation column using artificial neural networks. Chemical Engineering Research & Design, 79:689-696, 2001.
[23] Juricek, B. C., Seborg, D. E., Larimore, W. E.. Predictive monitoring for abnormal situation management. Journal of Process Control, 11:111-128, 2001.
[24] Henrique, H. M., Lima, E. L., Seborg, D. E.. Model structure determination in neural network models. Chemical Engineering Science, 55:5457-5469, 2000.
[25] Singhal, A., Seborg, D. E.. Dynamic data rectification using the expectation maximization algorithm. Aiche Journal, 46:1556-1565, 2000.
[26] Swanda, A. P., Seborg, D. E., Holman, K. L., Sweerus, N. G.. Performance evaluation of two simple causticizing control systems. Tappi Journal, 83:73-74, 2000.
[27] Murakami, K., Seborg, D. E.. Constrained parameter estimation with applications to blending operations. Journal of Process Control, 10:195-202, 2000.

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