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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
Laughlin, D.L., D.E. Rivera, and M. Morari, "Smith Predictor design for robust performance," Int. J. of Control, 46, 477, 1987.
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.