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Pattern matching in multivariate time series databases using a moving-window approachSINGHAL, Ashish; SEBORG, Dale E.Industrial & engineering chemistry research. 2002, Vol 41, Num 16, pp 3822-3838, issn 0888-5885Article

Robust Nyquist array analysis based on uncertainty descriptions from system identificationCHEN, Dan; SEBORG, Dale E.Automatica (Oxford). 2002, Vol 38, Num 3, pp 467-475, issn 0005-1098Article

PI/PID controller design based on direct synthesis and disturbance rejectionDAN CHEN; SEBORG, Dale E.Industrial & engineering chemistry research. 2002, Vol 41, Num 19, pp 4807-4822, issn 0888-5885, 16 p.Article

Effect of data compression on pattern matching in historical dataSINGHAL, Ashish; SEBORG, Dale E.Industrial & engineering chemistry research. 2005, Vol 44, Num 9, pp 3203-3212, issn 0888-5885, 10 p.Article

Clustering multivariate time-series dataSINGHAL, Ashish; SEBORG, Dale E.Journal of chemometrics. 2005, Vol 19, Num 8, pp 427-438, issn 0886-9383, 12 p.Article

Relative gain array analysis for uncertain process modelsDAN CHEN; SEBORG, Dale E.AIChE journal. 2002, Vol 48, Num 2, pp 302-310, issn 0001-1541Article

Clustering of multivariate time-series dataSINGHAL, Ashish; SEBORG, Dale E.Proceedings of the American Control Conference. 2002, pp 3931-3936, issn 0743-1619, isbn 0-7803-7298-0, 6Vol, 6 p.Conference Paper

An evaluation of MIMO input designs for process identificationCONNER, Jeremy S; SEBORG, Dale E.Industrial & engineering chemistry research. 2004, Vol 43, Num 14, pp 3847-3854, issn 0888-5885, 8 p.Article

Pattern matching in historical dataJOHANNESMEYER, Michael C; SINGHAL, Ashish; SEBORG, Dale E et al.AIChE journal. 2002, Vol 48, Num 9, pp 2022-2038, issn 0001-1541, 17 p.Article

Monitoring model predictive control systems using pattern classification and neural networksLOQUASTO, Fred III; SEBORG, Dale E.Industrial & engineering chemistry research. 2003, Vol 42, Num 20, pp 4689-4701, issn 0888-5885, 13 p.Article

Multi-model adaptive control of a simulated pH neutralization processBÖLING, Jari M; SEBORG, Dale E; HESPANHA, Joao P et al.Control engineering practice. 2007, Vol 15, Num 6, pp 663-672, issn 0967-0661, 10 p.Article

Model structure determination in neural network modelsHENRIQUE, Humberto M; LIMA, Enrique L; SEBORG, Dale E et al.Chemical engineering science. 2000, Vol 55, Num 22, pp 5457-5469, issn 0009-2509Article

Fault detection using canonical variate analysisJURICEK, Ben C; SEBORG, Dale E; LARIMORE, Wallace E et al.Industrial & engineering chemistry research. 2004, Vol 43, Num 2, pp 458-474, issn 0888-5885, 17 p.Article

Fault detection and diagnosis in an industrial fed-batch cell culture processGUNTHER, Jon C; CONNER, Jeremy S; SEBORG, Dale E et al.Biotechnology progress. 2007, Vol 23, Num 4, pp 851-857, issn 8756-7938, 7 p.Article

Identification of multivariable, linear, dynamic models: Comparing regression and subspace techniquesJURICEK, Ben C; SEBORG, Dale E; LARIMORE, Wallace E et al.Industrial & engineering chemistry research. 2002, Vol 41, Num 9, pp 2185-2203, issn 0888-5885Article

Control-Relevant Models for Glucose Control Using A Priori Patient CharacteristicsVAN HEUSDEN, Klaske; DASSAU, Eyal; ZISSER, Howard C et al.IEEE transactions on biomedical engineering. 2012, Vol 59, Num 7, pp 1839-1849, issn 0018-9294, 11 p.Article

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 approachesOLIVEIRA-ESQUERRE, Karla Patricia; SEBORG, Dale E; BRUNS, Roy E et al.Chemical engineering journal (1996). 2004, Vol 104, Num 1-3, pp 73-81, issn 1385-8947, 9 p.Article

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 approachesOLIVEIRA-ESQUERRE, Karla Patricia; SEBORG, Dale E; MORI, Milton et al.Chemical engineering journal (1996). 2004, Vol 105, Num 1-2, pp 61-69, issn 1385-8947, 9 p.Article

Adaptive blood glucose control for intensive care applicationsOTTAVIAN, Matteo; BAROLO, Massimiliano; ZISSER, Howard et al.Computer methods and programs in biomedicine (Print). 2013, Vol 109, Num 2, pp 144-156, issn 0169-2607, 13 p.Article

Analysis of the ΔAIC statistic for optimal detection of small changes in dynamic systemsCONNER, Jeremy S; SEBORG, Dale E; LARIMORE, Wallace E et al.American Control Conference. 2004, pp 4408-4413, isbn 0-7803-8335-4, 6 p.Conference Paper

Effect of Input Excitation on the Quality of Empirical Dynamic Models for Type 1 DiabetesFINAN, Daniel A; PALERM, Cesar C; DOYLE, Francis J et al.AIChE journal. 2009, Vol 55, Num 5, pp 1135-1146, issn 0001-1541, 12 p.Article

Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic-euglycaemic clamp : a novel use for a proven techniqueBEVIER, Wendy C; ZISSER, Howard; PALERM, Cesar C et al.Diabetes/metabolism research and reviews (Print). 2007, Vol 23, Num 6, pp 472-478, issn 1520-7552, 7 p.Article

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