Publications

Found 2855 results
Author Title [ Type(Asc)] Year
Journal Article
Doyle FJ, Castro JJ.  2004.  A pulp mill benchmark problem for control: problem description. JOURNAL OF PROCESS CONTROL. 14:17-29.
Doyle FJ, Castro JJ.  2004.  A pulp mill benchmark problem for control: application of plantwide control design. JOURNAL OF PROCESS CONTROL. 14:329-347.
PADEN B, Ghosh J.  2002.  A pseudoinverse-based iterative learning control. IEEE TRANSACTIONS ON AUTOMATIC CONTROL. 47:831-837.
Li HG, Yu HL, A Abbadi E, Agrawal D.  2005.  Progressive ranking of range aggregates. DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS. 3589:179-189.
Agrawal D, Li H-G, Abbadi AEl, Yu H.  2007.  Progressive ranking of range aggregates. DATA & KNOWLEDGE ENGINEERING. 63:4-25.
Mezic I, Mohr R, Thakur GS.  2016.  Programmable Potentials: Approximate N-body potentials from coarse-level logic. SCIENTIFIC REPORTS. 6
Gunther JC, Conner JS, Seborg DE.  2009.  Process monitoring and quality variable prediction utilizing PLS in industrial fed-batch cell culture. JOURNAL OF PROCESS CONTROL. 19:914-921.
Caffarelli LA, Crandall MG.  2012.  The problem of two sticks. EXPOSITIONES MATHEMATICAE. 30:69-95.
Sahin OD, A Abbadi E, Agrawal D, Antony S.  2005.  PRoBe: Multi-dimensional range queries in P2P networks. WEB INFORMATION SYSTEMS ENGINEERING - WISE 2005. 3806:332-346.
Madhow U.  2008.  Probability, random variables, and random processes. FUNDAMENTALS OF DIGITAL COMMUNICATION. :474-481.
SCHAPER CD, MELLICHAMP DA, SEBORG DE.  1992.  PROBABILISTIC APPROACH TO ROBUST PROCESS-CONTROL. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 31:1694-1704.
Sahin O.D, Agrawal D., Emekci F., A. Abbadi E.  2007.  Privacy preserving decision tree learning over multiple parties. DATA & KNOWLEDGE ENGINEERING. 63:348-361.
Tegling E, Bamieh B, Gayme DF.  2015.  The Price of Synchrony: Evaluating the Resistive Losses in Synchronizing Power Networks. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS. 2:254-266.
Doyle, III FJ, B. Bequette W, Dassau E, Clinton P, Wilkinson J, Cameron F, H. Chase P, Cobry E, Lee H, Caswell K et al..  2010.  Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension. DIABETES CARE. 33:1013-1017.
Puttaswamy KPN, Steinbauer T, Agrawal D, Kruegel C, Abbadi AEl, Zhao BY, Wang S.  2014.  Preserving Location Privacy in Geosocial Applications. IEEE TRANSACTIONS ON MOBILE COMPUTING. 13:159-173.
Juricek BC, Larimore WE, SEBORG DE.  2001.  Predictive monitoring for abnormal situation management. JOURNAL OF PROCESS CONTROL. 11:111-128.
Mort PR, Tan HSing, Ronen D, Doyle, III FJ, Sanders CFW.  2011.  Predictive Dynamic Modeling of Key Process Variables in Granulation Processes Using Partial Least Squares Approach. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 50:1419-1426.
SEBORG DE, MAURATH PR, MELLICHAMP DA.  1988.  PREDICTIVE CONTROLLER-DESIGN FOR SINGLE-INPUT SINGLE-OUTPUT (SISO) SYSTEMS. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 27:956-963.
LAUB AJ, MELLICHAMP DA, MAURATH PR, SEBORG DE.  1988.  PREDICTIVE CONTROLLER-DESIGN BY PRINCIPAL COMPONENTS-ANALYSIS. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH. 27:1204-1212.
SEBORG DE, MARCHETTI JL, MELLICHAMP DA.  1983.  PREDICTIVE CONTROL BASED ON DISCRETE CONVOLUTION MODELS. INDUSTRIAL & ENGINEERING CHEMISTRY PROCESS DESIGN AND DEVELOPMENT. 22:488-495.
Turner KL, Requa MV.  2007.  Precise frequency estimation in a microelectromechanical parametric resonator. APPLIED PHYSICS LETTERS. 90
Teel AR, Goebel R.  2010.  Preasymptotic Stability and Homogeneous Approximations of Hybrid Dynamical Systems. SIAM REVIEW. 52:87-109.
Zeyen B, Virwani K, Turner KL, Pittenger B.  2009.  Preamplifying cantilevers for dynamic atomic force microscopy. APPLIED PHYSICS LETTERS. 94
Bevier WC, Doyle, III FJ, Zisser H, Palerm CC, Jovanovic L.  2007.  Prandial insulin dosing using run-to-run control - Application of clinical data and medical expertise to define a suitable performance metric. DIABETES CARE. 30:1131-1136.
Bevier WC, Zisser H, Finan DA, Seborg DE, Jovanovic L.  2007.  Practical issues in the identification of empirical models from simulated type 1 diabetes data. DIABETES TECHNOLOGY & THERAPEUTICS. 9:438-450.

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