Archival Journals

 58. Deshpande, S. N.N. Nandola, D.E. Rivera, and J.W. Younger, "Optimized treatment of fibromyalgia using system identification and hybrid model predictive control, Control Engineering Practice, Vol. 33,  pp. 161 - 173, 2014. ScienceDirect
 57. Deshpande, S. and D.E. Rivera, "Constrained optimal input signal design for data-centric estimation methods," IEEE Transactions on Automatic Control, Vol. 59, No. 11, pp. 2990 - 2995, 2014. IEEE Xplore
 56. Deshpande, S., D.E. Rivera, J.W. Younger, and N. N. Nandola, "A control systems engineering approach for adaptive behavioral interventions: illustration with a fibromyalgia intervention," Translational Behavioral Medicine, Vol 4, No. 3, pp. 275-289, 2014.  Errratum in Vo. 4, No. 3, pp. 439, 2014. SpringerLink
 55. Schwartz, J.D. and D.E. Rivera, "A control-relevant approach to demand modeling for supply chain management," Computers and Chemical Engineering, Vol. 70, pp 78 - 90, 2014. ScienceDirect
 54. Savage, J.S., D.S. Downs, Y. Dong, and D.E. Rivera, "Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight," American Journal of Public Health, Vol. 104, No. 7, pp. 1247-1254, July 2014. APHA Publications
 53. Pina, A.A., L.E. Holly, A.A. Zerr, and D.E. Rivera, "A personalized and control systems engineering conceptual approach to target childhood anxiety in the contexts of cultural diversity," Journal of Clinical Child and Adolescent Psychology, Volume 43, Issue 3, pages 442-453, 2014. Taylor and Francis Online
 52. Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, "Continuous-time system identification of a smoking cessation intervention," International Journal of Control, Special Issue: Applications of Continuous-Time Model Identification and Estimation, Vol. 87, Issue 7, pgs. 1423-1437, 2014. Taylor and Francis Online

Timms, K.P., D.E. Rivera, L.M. Collins, and M.E. Piper, “A dynamical systems approach to understand self-regulation in smoking cessation behavior change,” Nicotine and Tobacco Research, Special Issue on New Methods for Advancing Research on Tobacco Dependence Using Ecological Momentary Assessments, 16 (Suppl 2): S159 - S168, 2014.

 Oxford Journals
 50. Trail, J., L.M. Collins, D.E. Rivera, R. Li, and M. Piper “Functional data analysis for dynamical system identification of behavioral processes,” Psych. Methods, Vol 19(2), 175-187, 2014.  APA
 49. Rivera, D.E. and H.B. Jimison, "Systems modeling of behavior change: two illustrations from optimized interventions for improved health outcomes," IEEE Pulse, Vol. 4, No. 6, pp. 41 - 47, 2013. IEEE Xplore

Hekler, E., M. Buman, N. Poothakandiyil, D.E. Rivera, J.M. Dzierzewski, A. Aiken-Morgan, C.S. McRae, B.L. Roberts, M. Marsiske, and P. Giacobbi, “Exploring Behavioral Markers of Long-term Physical Activity Maintenance: A Case Study of System Identification Modeling within a Behavioral Intervention,” Health Education and Behavior, Special Supplement on System Science Applications in Health Promotion and Public Health, 40(IS) 51S–62S, 2013.

 Sage Journals
47. Alvarez, J.D., J.L. Guzmán, D.E. Rivera, M. Berenguel, and S. Dormido, “Perspectives on control-relevant identification through the use of interactive tools,” Control Engineering Practice, Volume 21, Issue 2, pages 171–183, February 2013. ScienceDirect
46. Nandola, N.N. and D.E. Rivera, "An improved formulation of hybrid model predictive control with application to production-inventory systems," IEEE Transactions on Control Systems Technology, Volume 21, No. 1, pages 121 - 135, January, 2013. IEEE Xplore
45. Thomas, D.M., J.E. Navarro-Barrientos, D.E. Rivera, S.B. Heymsfield, C. Bredlau, L.M. Redman, C.K. Martin, S.A. Lederman, L.M. Collins, and N.F. Butte, "Dynamic energy-balance model predictiing gestational weight gain,"  American Journal of Clinical Nutrition,  Vol. 95, pgs. 115-122, January, 2012. Amer. Soc. for Nutrition
44. Roche, K.T., D.E. Rivera, and J.K. Cochran, "A control engineering framework for managing whole hospital occupancy," Mathematical and Computer Modelling, Vol. 55, Issues 3-4, pgs. 1401 – 1417, February, 2012. ScienceDirect
43. Guzmán, J.L., D.E. Rivera, S. Dormido, and M. Berenguel, "An interactive software tool for system identification," Advances in Engineering Software, Vol. 45, No. 1, pgs. 115-123, March 2012. ScienceDirect
42. Riley, W.T., D.E. Rivera, A.A. Autienza, W. Nilsen, S. Allison, and R. Mermelstein,"Health behavior models in the age of mobile interventions: are our theories up to the task?" Translational Behavioral Medicine: Practice, Policy, Research, Vol. 1, No. 1, pgs. 53 – 71, March 2011. SpringerLink
41. Steenis, R. and D.E. Rivera, "Plant-friendly signal generation for system identification using a modified simultaneous perturbation stochastic approximation (SPSA) methodology," IEEE Transactions on Control Systems Technology, Vol. 19, No. 6, pgs. 1604-1612, November 2011. IEEE Xplore
40. Navarro-Barrientos, J.E., D.E. Rivera, and L.M. Collins, "A dynamical model for describing behavioural interventions for weight loss and body composition change," Mathematical and Computer Modelling of Dynamical Systems, Vol. 17, No. 2, pgs. 183-203, April 2011. Taylor and Francis
39. Zafra-Cabeza, A., D.E. Rivera, L.M. Collins, M.A. Ridao, and E.F. Camacho, "A risk-based Model Predictive Control approach to adaptive interventions in behavioral health," IEEE Transactions on Control Systems Technology, Vol. 19, No. 4, pgs. 891 - 901, July 2011. IEEE Xplore
38. Schwartz, J.D. and D.E. Rivera, "A process control approach to tactical inventory management in production-inventory systems," Int. J. Production Economics, Volume 125, Issue 1, Pages 111-124, May 2010. ScienceDirect
37. Wang, W., D.E. Rivera, and H.D. Mittelmann, "Inner and outer loop optimization in semiconductor manufacturing supply chain management," Computational Management Science, Vol. 6, No. 4, October 2009. SpringerLink
36. Rivera, D.E., H. Lee, H.D. Mittelmann, and M.W. Braun, "Constrained multisine input signals for plant-friendly identification of chemical process systems," Journal of Process Control, Vol. 19, No. 4, pgs. 623 - 635, April 2009. Science Direct
35. Huang, D., H. Sarjoughian, W. Wang, G. Godding, D.E. Rivera, K.G. Kempf, and H.D. Mittelmann, "Simulation of semiconductor manufacturing supply-chain systems with DEVS, MPC, and KIB," IEEE Transactions on Semiconductor Manufacturing, Vol. 22, No. 1, pgs. 164 - 174, February, 2009. IEEE Xplore
34. Schwartz, J.D., M.R. Arahal, D.E. Rivera, and K.D. Smith, "Control-relevant demand forecasting for tactical decision-making in semiconductor manufacturing supply chain management," IEEE Transactions on Semiconductor Manufacturing, Vol. 22, No. 1, pgs. 154 - 163, February, 2009. IEEE Xplore
33. Wang, W. and D.E. Rivera, "A Model Predictive Control algorithm for tactical decision-making in semiconductor manufacturing supply chain management," IEEE Transactions on Control Systems Technology, Vol. 16, No. 5, pgs. 841 - 855, September, 2008. IEEE Xplore
32. Rivera-Flores, D.E., "Una metodología para la identificación integrada con el diseño de controladores IMC-PID," (A methodology for integrated system identification with IMC-PID controller design), Revista Iberoamericana de Automática e Informática Industrial (Ibero-American Journal of Automatic Control and Industrial Computer Science), Vol. 4, No. 4, pgs. 129 – 134, October 2007. RIAI
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. IEEE Xplore
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. SpringerLink
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. Science Direct
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. Science Direct
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. Science Direct
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 Science Direct
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. Reprint
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. Science Direct
23. 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. IEEE Xplore
22. 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



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. Science Direct
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. Taylor & Francis Online
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. Science Direct
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. Science Direct
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. Science Direct
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. Science Direct
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. IEEE Xplore
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. Applied Mathematics and Computer Science
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. Science Direct
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. Science Direct
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. Wiley Interscience
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. Science Direct
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. Science Direct
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. Science Direct
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. IEEE Xplore
6. Rivera, D.E. and M. Morari, "Plant and controller reduction problems for closed-loop performance," IEEE Trans. Autom. Cntrl., 37, 398, 1992. IEEE Xplore
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. Science Direct
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. Science Direct
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. 21st most cited paper in I&EC Research since 1975. ( American Chemical Society