32. Wang, W. and D.E. Rivera, "Model predictive control for tactical decision-making in semiconductor manufacturing supply chain management," IEEE Transactions on Control Systems Technology, in press.

31.

 Rivera, D.E., H. Lee, H.D. Mittelmann, and M.W. Braun, "High purity distillation: using plant-friendly multisine signals to identify a strongly interactive process," Special Section on Applications of System Identification, IEEE Control Systems Magazine, Vol. 28, No. 5, pgs. 72-89, October 2007.
30. Mittelmann, H.D., G. Pendse, D.E. Rivera, and H. Lee, "Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria," Computational Optimization and Applications, Vol. 38, pgs. 173-190, 2007.
29. Rivera, D.E., M.D. Pew, and L.M. Collins, "Using engineering control principles to inform the design of adaptive interventions: A conceptual introduction," Drug and Alcohol Dependence, Special Issue on Adaptive Interventions, Vol. 88, Supplement 2, pgs. S31-S40, 2007.
28. Zafra-Cabeza, A., M.A. Ridao, E.F. Camacho, K.G. Kempf, and D.E. Rivera, "A stochastic predictive control approach applied to project risk management in semiconductor manufacturing," Control Engineering Practice., Vol. 15, Issue 8, pgs. 969-984, 2007.
27. Wang, W., D.E. Rivera, and K.G. Kempf, "Model Predictive Control strategies for supply chain management in semiconductor manufacturing," International Journal of Production Economics, Special Issue on Building Core Competence Through Operational Excellence, Vol. 107, Issue 1, pgs. 56-77, 2007.
26. Schwartz, J.D., W. Wang, and D.E. Rivera, "Optimal tuning of process control-based decision policies for inventory management in supply chains," Automatica, Special Issue on Optimal Control Applications to Management Sciences, Vol. 42, pgs. 1311 - 1320, 2006. Note: No. 1 downloaded article in Automatica during July - Sept. 2006
25. Rivera, D.E., "Teaching Semiphysical Modeling to ChE Students using a Brine-Water Mixing Tank Experiment," Chemical Engineering Education, Vol. 39, No. 4, pgs. 308-315, 2005.

24.

Braun, M.W., D.E. Rivera, M.E. Flores, W.M.Carlyle, K.G. Kempf, "A Model Predictive Control Framework for Robust Management of Multi-Product, Multi-Echelon Demand Networks," Annual Reviews in Control, Vol.27, Issue 2, pp. 229-245, 2003.

23.

Braun, M.W., D.E. Rivera, W.M. Carlyle, and K.G. Kempf, "Application of Model Predictive Control to Robust Management of Multi-Echelon Demand Networks in Semiconductor Manufacturing," Simulation: Transactions of the Society for Modeling and Simulation International, Vol. 79, No. 3, pp.139-156, March 2003

22.

Vargas-Villamil, F.D., D.E. Rivera, and K.G. Kempf, "A Hierarchical Approach to Production Control of Reentrant Semiconductor Manufacturing Lines,"  IEEE Transactions on Control Systems Technology, Vol. 11, No. 4, pp. 578-587, July 2003.

21.

Braun, M.W. R. Ortiz-Mojica, and D.E. Rivera, "Design of Minimum Crest Factor Multisinusoidal Signals for Plant-Friendly Identification of Nonlinear Process Systems," Control Engineering Practice, Vol. 3, No. 3, pp. 301-313, March 2002.

20.

Braun, M.W., D.E. Rivera, and A. Stenman. "A Model-on-Demand Identification Methodology for Nonlinear Process Systems," International Journal of Control, Vol.74, Issue.18, pp.1708-1717, December 2001.

19.

Vargas-Villamil, F.D. and D.E. Rivera, "A Model Predictive Control Approach for Real-Time Optimization of Reentrant Manufacturing Lines," Computers in Industry, 45, No. 1, pp. 45-57, June, 2001.

18.

Ling, W.M. and D.E. Rivera, "Control-Relevant Nonlinear System Identification Using Restricted Complexity Models," Journal of Process Control, 11, No. 2, pp. 209-222, 2001.

17.

Stenman, A., F. Gustafsson, D.E. Rivera, L. Ljung, T. McKelvey, "On Adaptive Smoothing of Empirical Transfer Function Estimates," Control Engineering Practice, 8, No. 2, pp. 1309-1315, 2000.

16.

Vargas-Villamil, F.D. and D.E. Rivera, "Multilayer Optimization and Scheduling Using Model Predictive Control: Application to Reentrant Semiconductor Manufacturing Lines," Computers and Chemical Engineering, 24, No. 2, pp. 2009-2021, 2000.

15.

Rivera, D.E. and K.S. Jun, "An Integrated Identification and Control Design Methodology for Multivariable Process System Applications," IEEE Control Systems Magazine, Special Issue on Process Control, 20, No. 3, pp. 25-37, June 2000.

14.

Ling, W.M. and D.E. Rivera, "Nonlinear Black-Box Identification of Distillation Column Models - Design Variable Selection for Model Performance Enhancement," Applied Mathematics and Computer Science, Special Issue on Data Processing and Process Control, 8, No. 4, 1998.

13.

Ling, W.M. and D.E. Rivera, "Control-relevant Model Reduction of Volterra Series Models," Journal of Process Control., 8, No. 2, pp 79-88, 1998.

12.

Gaikwad, S.V. and D.E. Rivera, "Multivariable Frequency-Response Curvefitting with Application to Control-Relevant Parameter Estimation Problems," Automatica, 33, No. 6, pp. 1169-1174, 1997.

11.

Rivera, D.E., K.S. Jun, V.E. Sater, and M.K. Shetty, "Teaching Process Dynamics and Control Using an Industrial-Scale Real-Time Computing Environment," Computer Applications in Engineering Education, Computer-Aided Chemical Engineering Education Special Issue, Vol. 4 No. 3, pp. 191-205, 1996.

10.

Rivera, D.E. and S. Gaikwad, "Digital PID Controller Design Using ARX Estimation," Computers and Chemical Engineering, 20, No. 11, pp. 1317-1334, 1996.

9.

Jun, Kyoung-Shik, D.E. Rivera, E. Elisante, and V.E. Sater.  "A Computer-Aided Design Tool for Robustness Analysis and Control-Relevant Identification of Horizon Predictive Control with Application to a Binary Distillation Column," Journal of Process Control, 6, No. 2-3, pp. 177-186, 1996.

8.

Rivera, D.E. and S.V. Gaikwad. "Systematic Techniques for Determining Modeling Requirements for SISO and MIMO Feedback Control Problems," Journal of Process Control 5, No. 4, pp.213-224, 1995.

7.

Rivera, D.E., J.F. Pollard, and C.E. García, "Control-relevant prefiltering: a systematic design approach and case study, " IEEE Trans. Autom. Cntrl., Special Issue on System Identification for Control Design, 37, 964, 1992.

6.

Rivera, D.E. and M. Morari, "Plant and controller reduction problems for closed-loop performance," IEEE Trans. Autom. Cntrl., 37, 398, 1992.

5.

Rivera, D.E. and M. Morari, "Low-order SISO controller tuning methods for the H2, H-infinity and mu objective functions, " Automatica, 26, 361, 1990.

4.

Laughlin, D.L., D.E. Rivera, and M. Morari, "Smith Predictor design for robust performance," Int. J. of Control, 46, 477, 1987.
Not Available

3.

Holt, B.R., N.F. Jerome, D.E. Rivera, M. Morari, W.H. Ray et al., "CONSYD - integrated software for computer-aided control system design and analysis," Computers and Chemical Engineering, 11, 187, 1987.

2.

Rivera, D.E. and M. Morari, "Control-relevant model reduction problems for SISO H2, H-infinity and mu controller synthesis," Int. J. Control, 46, 505, 1987.
Not Available

1.

Rivera, D.E., M. Morari, and S. Skogestad, "Internal Model Control 4. PID controller design," Ind. Eng. Chem. Proc. Des. and Dev., 25, 252, 1986.