D. Seborg

Dale E. Seborg, Dan Chen, D. Seborg, 2001, Proceedings of the 2001 IEEE International Conference on Control Applications (CCA'01) (Cat. No.01CH37204).

Clustering of multivariate time-series data

Dale E. Seborg, A. Singhal, D. Seborg, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

Construction of regions of stability for non-linear systems containing time delays†

Dale E. Seborg, Ernest F. Johnson, D. Seborg, 1970 .

Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.

Eyal Dassau, Francis J Doyle, Ravi Gondhalekar, 2016, Industrial & engineering chemistry research.

Early Detection of Physical Activity for People With Type 1 Diabetes Mellitus

Eyal Dassau, Francis J Doyle, Dale E Seborg, 2015, Journal of diabetes science and technology.

Identification of chemical processes using canonical variate analysis

Duncan A. Mellichamp, Dale E. Seborg, Wallace E. Larimore, 1990, 29th IEEE Conference on Decision and Control.

Monitoring Model Predictive Control Systems Using Pattern Classification and Neural Networks

Dale E. Seborg, Fred Loquasto, D. Seborg, 2003 .

Model predictive controller monitoring based on pattern classification and PCA

Dale E. Seborg, F. Loquasto, D. Seborg, 2003, Proceedings of the 2003 American Control Conference, 2003..

Cumulant/bispectrum model structure identification applied to a pH neutralization process

Dale E. Seborg, John D. Bomberger, H. E. Emara-Shabaik, 1996 .

The Prospects for Advanced Process Control

Dale E. Seborg, D. Seborg, 1987 .

Automatic detection of excessively oscillatory feedback control loops

T. Miao, Dale E. Seborg, D. Seborg, 1999, Proceedings of the 1999 IEEE International Conference on Control Applications (Cat. No.99CH36328).

A Self-Tuning Controller with a PID Structure

Dale E. Seborg, F. Cameron, D. Seborg, 1983 .

Analysis of the /spl Delta/AIC statistic for optimal detection of small changes in dynamic systems

Jeremy S. Conner, D. Seborg, W. Larimore, 2004, Proceedings of the 2004 American Control Conference.

A Survey of Process Control Education in the United States and Canada.

D. Seborg, 1980 .

I. Glucose control strategies for treating type 1 diabetes mellitus

Dale E. Seborg, D. Seborg, L. Jovanovic, 2007 .

A least squares approach to model reduction and the design of low‐order controllers

D. G. Fisher, D. Seborg, Robert G. Wilson, 1976 .

MODEL REFERENCE ADAPTIVE CONTROL BASED ON LIAPUNOV'S DIRECT METHOD Part II: Hybrid Computer Simulation and Experimental Application

Dale E. Seborg, D. Grant Fisher, D. G. Fisher, 1974 .

MODEL REFERENCE ADAPTIVE CONTROL BASED ON LIAPUNOV'S DIRECT METHOD Part I: Theory and Control System Design†

Dale E. Seborg, D. Grant Fisher, D. G. Fisher, 1974 .

Theoretical analysis of unconstrained nonlinear model predictive control

Dale E. Seborg, Michael A. Henson, M. A. Henson, 1993 .

1.4—1 The Applications of Model Predictive Control

Dale E. Seborg, D. Seborg, 1987 .

Determination of model order for NARX models directly from input-output data

Dale E. Seborg, John D. Bomberger, D. Seborg, 1998 .

Multi-model adaptive control of a simulated pH neutralization process

Joao P. Hespanha, Dale E. Seborg, Jari M. Böling, 2007 .

Experimental Evaluation of a Recursive Model Identification Technique for Type 1 Diabetes

Francis J Doyle, Howard C. Zisser, Howard C Zisser, 2009, Journal of diabetes science and technology.

Robust Nyquist array analysis based on uncertainty descriptions from system identification

Dale E. Seborg, Dan Chen, D. Seborg, 2002, Autom..

Adaptive nonlinear control of a pH neutralization process

Dale E. Seborg, Michael A. Henson, M. A. Henson, 1994, IEEE Trans. Control. Syst. Technol..

Optimal selection of soft sensor inputs for batch distillation columns using principal component analysis

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2005 .

An SQC approach to monitoring and fault detection in HVAC control systems

P. Fasolo, D. E. Seborg, D. Seborg, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Predictive monitoring for abnormal situation management

Dale E. Seborg, Wallace E. Larimore, Ben C. Juricek, 2001 .

Nonlinear Control Strategies for Continuous Fermentors

Dale E. Seborg, Michael A. Henson, M. A. Henson, 1990, 1990 American Control Conference.

Pattern matching in historical batch data using PCA

A. Singhal, Dale E. Seborg, D. Seborg, 2002 .

Use of Continuous Glucose Monitoring to Estimate Insulin Requirements in Patients with Type 1 Diabetes Mellitus during a Short Course of Prednisone

Francis J Doyle, Howard C Zisser, Daniel A Finan, 2008, Journal of diabetes science and technology.

Conditions that Guarantee No Overshoot for Linear Systems

Dale E. Seborg, Susan F. Phillips, D. Seborg, 1987, 1987 American Control Conference.

Pattern matching in batch bioprocesses - Comparisons across multiple products and operating conditions

Jeremy S. Conner, Dale E. Seborg, J. Baclaski, 2009, Comput. Chem. Eng..

Fault Detection Using Canonical Variate Analysis

Dale E. Seborg, Wallace E. Larimore, Ben C. Juricek, 2004 .

Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas

Dale E. Seborg, Eyal Dassau, Francis J. Doyle, 2016, Diabetes Care.

An Improved PID Switching Control Strategy for Type 1 Diabetes

Dale E. Seborg, Massimiliano Barolo, Howard C. Zisser, 2008, IEEE Transactions on Biomedical Engineering.

Nonlinear control strategies for continuous fermenters

Dale E. Seborg, Michael A. Henson, M. A. Henson, 1992 .

Design of Predictive Control Systems based on Pole Assignment

J.L. Marchetti, D.A. Mellichamp, D.E. Seborg, 1983, 1983 American Control Conference.

Clinical evaluation of an automated artificial pancreas using zone-model predictive control and health monitoring system.

Eyal Dassau, Francis J Doyle, Howard C Zisser, 2014, Diabetes technology & therapeutics.

Optimal proportional plus integral control for regulator and tracking problems

Dale E. Seborg, D. Seborg, Kin P. Wong, 1985 .

Practical issues in the identification of empirical models from simulated type 1 diabetes data.

Howard Zisser, Daniel A Finan, Dale E Seborg, 2007, Diabetes technology & therapeutics.

Improved blood glucose control for critically ill subjects

Dale E. Seborg, Massimiliano Barolo, Eyal Dassau, 2011 .

Matching patterns from historical data using PCA and distance similarity factors

Dale E. Seborg, A. Singhal, D. Seborg, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Analysis of process interactions with applications to multiloop control system design

Dale E. Seborg, D. Seborg, Jean Pierre Gagnepain, 1982 .

Evaluation of a pattern matching method for the Tennessee Eastman challenge process

Dale E. Seborg, Ashish Singhal, D. Seborg, 2006 .

A new method for on‐line controller tuning

Dale E. Seborg, Dale E. Seborg, Minta Yuwana, 1982 .

Adaptive control strategies for process control: A survey

Thomas F. Edgar, Dale E. Seborg, S. L. Shah, 1986 .

Process monitoring and quality variable prediction utilizing PLS in industrial fed-batch cell culture

Jeremy S. Conner, D. Seborg, J. Gunther, 2009 .

Hybrid Neural Net, Physical Modeling Applied to a Xylene Splitter

Dale E. Seborg, W. Y. Svrcek, Amish Sabharwal, 1999 .

Novel Methodology to Determine the Accuracy of the OmniPod Insulin Pump: A Key Component of the Artificial Pancreas System

D. Seborg, E. Dassau, B. Kovatchev, 2011, Journal of diabetes science and technology.

Self-tuning regulator applied to a binary distillation column

Dale E. Seborg, V. A. Sastry, R. K. Wood, 1977, Autom..

Adaptive blood glucose control for intensive care applications

Dale E. Seborg, Massimiliano Barolo, Eyal Dassau, 2013, Comput. Methods Programs Biomed..

Control-Relevant Models for Glucose Control Using A Priori Patient Characteristics

Dale E. Seborg, Eyal Dassau, Francis J. Doyle, 2012, IEEE Transactions on Biomedical Engineering.

Adaptive photolithography control using development time manipulation

Dale E. Seborg, Duncan A. Mellichamp, Robert A. Soper, 1992, Other Conferences.

Achieving Decoupling with Predictive Controllers

Dale E. Seborg, Duncan A. Mellichamp, Paul R. Maurath, 1986, 1986 American Control Conference.

Experimental evaluation of a multivariable adaptive nonlinear predictive controller

J. Duane Morningred, Dale E. Seborg, Duncan A. Mellichamp, 1993 .

Modelling and Self-Tuning Control of a Multivariable pH Neutralization Process Part I: Modelling and Multiloop Control

Dale E. Seborg, Raymond C. Hall, D. Seborg, 1989, 1989 American Control Conference.

DEVELOPMENT OF A SOFT SENSOR FOR A BATCH DISTILLATION COLUMN USING LINEAR AND NONLINEAR PLS REGRESSION TECHNIQUES

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2002 .

Predicting Subcutaneous Glucose Concentration Using a Latent-Variable-Based Statistical Method for Type 1 Diabetes Mellitus

Dale E. Seborg, Chunhui Zhao, Eyal Dassau, 2012, Journal of diabetes science and technology.

Identification of empirical dynamic models from type 1 diabetes subject data

Howard C. Zisser, F.J. Doyle, L. Jovanovic, 2008, 2008 American Control Conference.

A Multivariable Adaptive Nonlinear Predictive Controller

Dale E. Seborg, J. Duane Morningred, Duncan A. Mellichamp, 1991, 1991 American Control Conference.

Characterization of equilibrium sets for bilinear systems with feedback control

Dale E. Seborg, Duncan A. Mellichamp, Abdelhanine Benallou, 1983, Autom..

Hybrid simulation of a computer-controlled evaporator

Dale E. Seborg, D. Grant Fisher, W. Kent Oliver, 1974 .

Digital control systems: Rolf Isermann

Dale E. Seborg, D. Seborg, 1984, Autom..

Optimal stabilizing controllers for bilinear systems

Dale E. Seborg, Duncan A. Mellichamp, A. Benallou, 1988 .

Minimal-time, minimal-order observers for discrete systems†

D. Seborg, A. Inoue, Sirish L. Shah, 1979 .

A design procedure for pole assignment using output feedback

Dale E. Seborg, Toros Topaloglu, D. Seborg, 1975 .

Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic‐euglycaemic clamp—a novel use for a proven technique

Howard C. Zisser, C. C. Palerm, Daniel A. Finan, 2007, Diabetes/metabolism research and reviews.

Predictive controller design for single-input/single-output (SISO) systems

Dale E. Seborg, Duncan A. Mellichamp, Paul R. Maurath, 1988 .

Predictive Glucose Monitoring for Type 1 Diabetes Using Latent Variable-based Multivariate Statistical Analysis

Dale E. Seborg, Eyal Dassau, Francis J. Doyle, 2011 .

Prediction of Dynamic Glycemic Trends Using Optimal State Estimation

Dale E. Seborg, Francis J. Doyle, Howard Zisser, 2008 .

Experience with nonlinear control and identification strategies

Dale E. Seborg, D. Seborg, 1994 .

Time delay compensation for nonlinear processes

Dale E. Seborg, Michael A. Henson, M. A. Henson, 1992 .

Data compression issues with pattern matching in historical data

Dale E. Seborg, A. Singhal, D. Seborg, 2003, Proceedings of the 2003 American Control Conference, 2003..

Dynamic data rectification using the expectation maximization algorithm

Dale E. Seborg, A. Singhal, D. Seborg, 2000 .

Dynamic simulation of a multicomponent distillation column with asymmetric dynamics

Dale E. Seborg, Duncan A. Mellichamp, Anna Stathaki, 1985 .

Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas

Lauren M. Huyett, Howard C. Zisser, Joon Bok Lee, 2016, Diabetes Care.

Composition estimations in a middle-vessel batch distillation column using artificial neural networks

Dale E. Seborg, Massimiliano Barolo, Eliana Zamprogna, 2001 .

Response to Comment on Pinsker et al. Randomized Crossover Comparison of Personalized MPC and PID Control Algorithms for the Artificial Pancreas. Diabetes Care 2016;39:1135–1142

Lauren M. Huyett, Howard C. Zisser, Joon Bok Lee, 2016, Diabetes Care.