Conference Proceedings

146.Guo, P., D.E. Rivera, A.M. Pauley, K.S. Leonard, J.S. Savage, and D.S. Downs, “A Model-on-
Demand methodology for energy intake estimation to improve gestational weight control interventions,”
Proceedings of the 18th IFAC Symposium on System Identification (SYSID 2018), Stockholm, Sweden,
IFAC-PapersOnline, Vol. 51, Issue 15, pgs. 144-149, 2018.		ScienceDirect
145.Lopes dos Santos, P., R. Romano, T-P Perdicoulis, D.E. Rivera and J.A. Ramos, “LPV system
identification using the matchable observable linear identification approach,” Proceedings of the 56th
Annual IEEE Conf. on Decision and Control, Melbourne, Australia, pgs. 4626-4631, 2017.		IEEE Xplore
144.Martin, C.A., D.E. Rivera, and E.B. Hekler, “Control-relevant design of system identification
experiments to improve behavioral interventions,” Proceedings of the 20th IFAC World Congress,
Tolouse, France, pgs. 15115-15120, 2017.		ScienceDirect
143.Guo, P., D.E. Rivera, J.S. Savage, and D.S. Downs, “State estimation under correlated partial
measurement losses: implications for weight control interventions,” Proceedings of the 20th IFAC World
Congress, Tolouse, France, pgs. 13532-13537, 2017.		ScienceDirect
142.Lopes dos Santos, P., M.T. Freigoun, D.E. Rivera, E.B. Hekler, C.A. Martin, R. Romano, T-P
Perdicoulis, and J.A. Ramos, “A MoliZoft system identification approach of the Just Walk data,”
Proceedings of the 20th IFAC World Congress, Tolouse, France, pgs. 12508-12513, 2017.		ScienceDirect
141.Murray, T., E.B. Hekler, D. Spruijt-Metz, D.E. Rivera, and A. Raij, “Lessons learned in the
development of a behavior modeling tool for health intervention design: BehaviorSim,” Advances in
Applied Digital Human Modeling and Simulation, pp. 279-290, 2017.		SpringerLink
140.Freigoun, M., Martin, C.A, Magann, A., Korinek, E., Phatak, S., Rivera, D.E., & Hekler, E.B.,
“System Identification of Just Walk: A Behavioral mHealth Intervention for Promoting Physical
Activity,” Proceedings of the 2017 American Control Conference, pgs. 116-121, 2017.		IEEE Xplore
139.Martin, C.A., Rivera, D.E., Hekler, E.B. “An enhanced identification test monitoring procedure for
MIMO systems relying on uncertainty estimates,” Proceedings of the IEEE 55th Conference on Decision
and Control, CDC 2016, pp. 2091-2096, 2016.		IEEE Xplore
138.Martin, C.A., Rivera, D.E., Hekler, E.B. “A control engineering approach for optimizing physical
activity behavioral interventions,” IEEE Ecuador Technical Chapters Meeting, ETCM 2016, pp. 1-6,
2016.		IEEE Xplore
137.Martin, C.A., Rivera, D.E., Hekler, E.B. “A decision framework for an adaptive behavioral
intervention for physical activity using hybrid model predictive control,” Proceedings of the 2016
American Control Conference, pp. 3576-3581, 2016.		IEEE Xplore
136.Guo, P., Rivera, D.E., Downs, D.S., Savage, J.S., “Semi-physical identification and state estimation
of energy intake for interventions to manage gestational weight gain,” Proceedings of the 2016 American
Control Conference, pp. 1271-1276, 2016.		IEEE Xplore
135.Murray, T., E.B. Hekler, D. Spruijt-Metz, D.E. Rivera, and A. Raij, “Formalization of computational
human behavior models for contextual persuasive technology” Lecture Notes in Computer Science
(including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9638,
pp. 150-161, 2016.		SpringerLink
134.Martin, C.A., Rivera, D.E., Hekler, E.B., An identification test monitoring procedure for MIMO
systems based on statistical uncertainty estimation, Proc. of the 2015 IEEE Conference on Decision and
Control, Osaka, Japan, pp. 2719-2724, 2015.		IEEE Xplore
133.Rivera, D.E., J.L. Guzman, M. Berenguel, and S. Dormido, Understanding closed-loop identification
with ITCLI, Proc. Of the 17th IFAC Symposium on System Identification (SYSID 2015), Beijing, China,
pp. 739-744, 2015.		ScienceDirect
132.Diaz, J.M., S. Dormido, and D.E. Rivera, Interactive education for time-domain time series analysis using ITTSAE, Proc. Of the 17th IFAC Symposium on System Identification (SYSID 2015), Beijing,
China, pp. 751-756, 2015.		ScienceDirect
131.Martin, C.A., Rivera, D.E., Hekler, E.B., Design of informative identification experiments for
behavioral interventions, Proc. Of the 17th IFAC Symposium on System Identification (SYSID 2015),
Beijing, China, pp.1325-1330, 2015.		ScienceDirect
130.Martin, C.A., Deshpande, S., Hekler, E.B., Rivera, D.E., A system identification approach for
improving behavioral interventions based on Social Cognitive Theory, Proc. of the 2015 American
Control Conference, Chicago, Illinois, pp. 5878-5883, 2015.		IEEE Xplore
129.Lopes Dos Santos, P., Azevedo-Perdicoulis, T.-P., Ramos, J.A., Deshpande, S., Rivera, D.E., Martins
De Carvalho, J.L., LPV system identification using a separable least squares support vector machines
approach, Proceedings of the 2014 IEEE Conference on Decision and Control, Los Angeles, CA, pp.
2548-2554, 2014.		IEEE Xplore
128.Deshpande, S., Rivera, D.E., Towards data-centric input signal design using sparse polynomial
optimization, Proceedings of the 2014 IEEE Conference on Decision and Control, Los Angeles, CA, pp.
1893-1898, 2014.		IEEE Xplore
127.Deshpande, S., Rivera, D.E., Data-centric input signal design for highly interactive dynamical
systems, Proceedings of the 2014 IEEE Conference on Decision and Control, Los Angeles, CA, pp.
1023-1028, 2014		IEEE Xplore
126.Timms, K.P., Martin, C.A., Rivera, D.E., Hekler, E.B., Riley, W. Leveraging intensive longitudinal
data to better understand health behaviors, Proceedings of the 36th Annual International Conference of
the IEEE Engineering in Medicine and Biology Society, Chicago, Illinois, pp. 6888-6891, 2014.		IEEE Xplore
125.Riley, W.T., Martin, C.A., Rivera, D.E., The importance of behavior theory in control system
modeling of physical activity sensor data, Proceedings of the 36th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society, Chicago, Illinois, pp. 6880-6883, 2014.		IEEE Xplore
124.Guzmán, J.L., Rivera, D.E., Berenguel, M., Dormido, S., ITCLI: An interactive tool for closed-loop
identification, Proceedings of the 19th IFAC World Congress on International Federation of Automatic
Control, IFAC 2014, Cape Town, South Africa, Vol. 19, pp. 12249-12254, 2014.		ScienceDirect
123.Timms, K.P., Rivera, D.E., Piper, M.E., Collins, L.M., A Hybrid Model Predictive Control strategy
for optimizing a smoking cessation intervention, Proceedings of the 2014 American Control Conference,
Portland, OR, pp. 2389-2394, 2014.		IEEE Xplore
122.Martín, C.A., Rivera, D.E., Riley, W.T., Hekler, E.B., Buman, M.P., Adams, M.A., King, A.C., A
dynamical systems model of Social Cognitive Theory, Proceedings of the 2014 American Control
Conference, Portland, OR, pp. 2407-2412, 2014.		IEEE Xplore
121.Dong, Y., Deshpande, S., Rivera, D.E., Downs, D.S., Savage, J.S. Hybrid model predictive control
for sequential decision policies in adaptive behavioral interventions, Proceedings of the 2014 American
Control Conference, Portland, OR, pp. 4198-4203, 2014.		IEEE Xplore
120.Lopes dos Santos, P., T-P Azevedo-Perdicoúlis, J.A. Ramos, J.L. Martins de Carvalho, and D.E.
Rivera, “Identification of LPV state space systems by a separable least squares approach,” 52nd IEEE
Conference on Decision and Control, Florence, Italy, pgs. 4104-4109, 2013.		IEEE Xplore
119.Deshpande, S. and D.E. Rivera, “A data-centric system identification approach to input signal design
for Hammerstein systems,” 52nd IEEE Conference on Decision and Control, Florence, Italy, pgs. 5192 –
5197, (2013).		IEEE Xplore
118.Deshpande, S. and D.E. Rivera, “Optimal input signal design for data-centric estimation methods,” Proc. of the 2013 American Control Conference, June 17-19, 2013, Washington, D.C.Preprint
117.Deshpande, S., N. Nandola, D.E. Rivera, and J. Younger, “A control engineering approach to designing an optimized treatment plan for fibromyalgia,” 2011 American Control Conference, San Francisco, CA, June 29-July 1, 2011, pp. 4798 – 4803.IEEE Xplore
116.Nandola, N. and D.E. Rivera, “Model-on-Demand Predictive Control for nonlinear hybrid systems with application to adaptive behavioral interventions,” 49th IEEE Conference on Decision and Control, Atlanta, GA, Dec. 15 – 17, 2010.IEEE Xplore
115.Nandola, N. and D.E. Rivera, “A robust Model Predictive Control formulation for hybrid systems with application to adaptive behavioral interventions,” 2010 American Control Conference, Baltimore, MD, June 30 – July 2, 2010.IEEE Xplore
114.Steenis, R. and D.E. Rivera, “Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals,” 2010 American Control Conference, Baltimore, MD, June 30 – July 2, 2010.IEEE Xplore
113.Navarro-Barrientos, J.E., D.E. Rivera, and L.M. Collins, “A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss,” 2010 International Conference on Social Computing, Behavioral Modeling, and Prediction (SBP 2010), Bethesda, MD, March 29 – April 1, 2010.SpringerLink
Preprint
112.Stoica, C., M.R. Arahal, D.E. Rivera, P. Rodriguez-Ayerbe, and D. Dumur, “Application of robustified model predictive control to a production-inventory system,” pgs. 3993-3998, 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, China, December 16 – 18, 2009 (received the General Chairs Recognition Award for Interactive Papers).IEEE Xplore
111.Schwartz, J.D. and D.E. Rivera, “Control-relevant estimation of demand models for closed-loop control of a production-inventory system,” pgs. 416 – 421,  48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, China, December 16 – 18, 2009.IEEE Xplore
110.Steenis, R. and D.E. Rivera, “Plant-friendly signal generation for system identification using a modified SPSA methodology,” pgs. 470 – 475, 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, China, December 16 – 18, 2009.IEEE Xplore
109.Guzmán, J.L., D.E. Rivera, S. Dormido, and M. Berenguel, “Teaching system identification through interactivity,” 8th IFAC Symposium on Advances in Control Education (ACE 2009), Kumamoto, Japan, October 21 – 23, 2009.Preprint
108.Guzmán, J.L., D.E. Rivera, S. Dormido, and M. Berenguel, “ITSIE: An Interactive Software Tool for System Identification Education,” 15th IFAC Symposium on System Identification (SYSID 2009), St. Malo, France, July 6-8, 2009.  Download the software from http://aer.ual.es/ITSIE.Preprint
107.Schwartz, J.D. and D.E. Rivera, “A System Identification Approach to PDE Modeling of a Semiconductor Manufacturing Process,” 15th IFAC Symposium on System Identification (SYSID 2009), St. Malo, France, July 6-8, 2009.Preprint
106.Schwartz, J.D., M.R. Arahal, and D.E. Rivera, “Control-relevant demand forecasting for management of a production-inventory system,” 2008 American Control Conference, pgs. 4053 – 4058, Seattle, Washington, June 11-13, 2008.IEEE Xplore
105.Schwartz, J.D. and D.E. Rivera, “Multi-objective control-relevant demand modeling for production and inventory control,” 3rd Annual IEEE Conference on Automation Science and Engineering, pgs. 710 – 715, Scottsdale, AZ, Sept. 22 – 25, 2007.IEEE Xplore
104.Lee, H., D.E. Rivera, H.D. Mittelmann, and G. Pendse, “Optimization-based design of plant-friendly input signals for Model-on-Demand Estimation and Model Predictive Control,” 2007 American Control Conference, pgs. 1560-1565, New York City, NY, July 11 – 13, 2007.IEEE Xplore
103.Zafra-Cabeza, A., D.E. Rivera, L.M. Collins, E.F. Camacho, M.A. Ridao, “A risk-based Model Predictive Control approach to adaptive interventions in behavioral health,” 45th IEEE Conference on Decision and Control, pgs. 673-678, San Diego, CA, Dec. 13 – 15, 2006.IEEE Xplore
102.Huang, D., G.S. Godding, H.S. Sarjoughian, D.E. Rivera, and K.G. Kempf, “Flexible experimentation and analysis of hybrid DEVS and MPC models,” 2006 Winter Simulation Conference, pgs. 1863-1870, Washington, D.C., December 3 – 6, 2006.WSC 06
101.Schwartz, J.D. and D.E. Rivera, “Process control education using inventory management in supply chains,” 7th IFAC Symposium on Advances in Control Education (ACE 2006), paper ThP03.4, pgs. 1-6, Madrid, Spain, June 21 – 23, 2006.Science Direct PDF
100.Schwartz, J.D. and D.E. Rivera, “Simulation-based optimal tuning of Model Predictive Control policies for supply chain management using simultaneous perturbation stochastic approximation,” 2006 American Control Conference, pgs. 556 – 561, Minneapolis, MN, June 14-16, 2006.IEEE Xplore
99.Lee, H. and D.E. Rivera, “An Integrated Input Signal Design and Control-Relevant Parameter Estimation Approach for Highly Interactive Multivariable Systems,” 2006 American Control Conference, Minneapolis, MN, pgs. 1665 – 1670, June 14-16, 2006.IEEE Xplore
98.J. D. Schwartz & D.E. Rivera, “Control-Relevant Demand Modeling for Supply Chain Management,” 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29-31, 2006.IFAC- PapersOnLine
Preprint
97.H. Lee & D.E. Rivera, “CR-IDENT: A Matlab Toolbox for Multivariable Control-Relevant System Identification,” 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29-31, 2006.IFAC- PapersOnLine
Preprint
96.D.E. Rivera, H. Lee, H.D. Mittelmann, G. Pendse, “Optimization-Based Design of Plant-Friendly Multisine Signals using Geometric Discrepancy Criteria,” 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29-31, 2006.IFAC- PapersOnLine
Preprint
95.Barker, H.A, D.E. Rivera, A.H.Tan, K.R. Godfrey, “Perturbation Signal Design,” 14th IFAC Symposium on System Identification (SYSID 2006), Newcastle, Australia, March 29-31, 2006.IFAC- PapersOnLine
Preprint
94.Rivera, D.E., M.D. Pew, “Evaluating PID Control for Supply Chain Management: A Freshman Design Project,” Control and Decision Conference – European Control Conference, Madrid, Spain, December 12-15, 2005.IEEE Xplore
Preprint
93.Sarjoughian, Hessam S., D. Huang, G.W. Godding, W. Wang, D.E. Rivera, K.G. Kempf, H.D. Mittelmann, “Hybrid Discrete Event Simulation with Model Predictive Controller for Semiconductor Supply-Chain Manufacturing,” Winter Simulation Conference, Orlando, FL, December 4-7, 2005.Preprint
92.Lee, H., D.E. Rivera, “An Integrated Methodology for Plant-Friendly Input Signal Design and Control-Relevant Estimation of Highly Interactive Processes,” Annual AIChE Meeting, paper 520b, Cincinnati, OH, October 31-November 4, 2005.Preprint
91.Schwartz, J., D. E. Rivera, K.G. Kempf, “Simultaneous Perturbation Stochastic Approximation for Simulation-Based Optimal Tuning of Model Predictive Control Policies for Supply Chain Management,” Annual AIChE Meeting, paper 477c, Cincinnati, OH, October 31-November 4, 2005.Preprint
90.Rivera, D.E., H. Lee, H.D. Mittelmann, G. Pendse, “Optimization-based Design of Plant-Friendly Input Signals for Data-Centric Estimation and Control,” Annual AIChE Meeting, paper 242k, Cincinnati, OH, October 31-November 4, 2005.Preprint
89.Schwartz, Jay D., D.E. Rivera and Karl G. Kempf, “Towards Control-Relevant Forecasting in Supply Chain Management,” American Control Conference, pgs 202-207, Portland, OR, June 8-10, 2005.IEEE Xplore
Preprint
88.Wang, Wenlin, D.E. Rivera and Karl G. Kempf, “A Novel Model Predictive Control Algorithm for Supply Chain Management in Semiconductor Manufacturing,” pgs 208-213, 2005 American Control Conference, Portland, OR, June 8-10, 2005.IEEE Xplore
Preprint
87.Lee, H. and D.E. Rivera, “Control Relevant Curvefitting for Plant-Friendly Multivariable System Identification,” pgs 1431-1436, 2005 American Control Conference, Portland, OR, June 8-10, 2005.IEEE Xplore
Preprint
86.Rivera, D.E., H.D. Mittelmann, H.S. Sarjoughian, and K.G. Kempf, “A Novel Model Predictive Control Algorithm for Supply Chain Management in Semiconductor Manufacturing,” 2005 NSF DMII Grantees’ Conference, Scottsdale, Arizona, January 3-6, 2005.Preprint
Poster
85.Lee, H. and D.E. Rivera, “A Control-Relevant, Plant-Friendly System Identification Methodology Using Shifted and “Zippered” Input Signals,” paper 414r, presented at the 2004 AIChE Annual Meeting, Austin, TX, November 7-12, 2004.Presentation

Record
84.Wang, W., D.E. Rivera, and K.G. Kempf, “A Novel Model Predictive Control Strategy for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management,” paper 421e, presented at the 2004 AIChE Annual Meeting, Austin, TX, November 7-12, 2004.Presentation

Record
83.Wang, Wenlin, Daniel E. Rivera, Karl.G. Kempf and Kirk D. Smith, “A Model Predictive Control Strategy for Supply Chain Management in Semiconductor Manufacturing under Uncertainty,” to be presented at the 2004 American Control Conference, Boston, MA, June 30-July 2, 2004.Preprint
82.Lee, Hyunjin, Daniel E. Rivera, Hans D. Mittelmann, “A Novel Approach to Plant-Friendly Multivariable Identification of Highly Interactive Systems,” paper 436a: pgs 1-15, Annual AIChE Meeting , San Francisco, CA, November 16-21, 2003.Slides Presentation

Record
81.Wang, Wenlin, J. Ryu, D.E. Rivera, K.G. Kempf, and K.D. Smith, “A Model Predictive Control Approach for Managing Semiconductor Manufacturing Supply Chains under Uncertainty,” paper 446d: pgs 1-34, Annual AIChE Meeting , San Francisco, CA, November 16-21, 2003.Slides Presentation

Record
80.Rivera, D.E.  “Teaching semiphysical modeling to chemical engineering students using a brine-water mixing tank experiment,” pgs. 1607-1612, 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, August 27-29, 2003.Preprint
79.Rivera, D.E., H. Lee, M.W. Braun, and H.D. Mittelmann, “Plant-friendly system identification: a challenge for the process industries,” pgs. 917- 922, 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, August 27-29, 2003.Preprint
78.Lee, H., D.E. Rivera, and H.D. Mittelmann, “Constrained minimum crest factor multisine signals for plant-friendly identification of highly interactive systems,” pgs. 947-952, 13th IFAC Symposium on System Identification, Rotterdam, The Netherlands, August 27-29, 2003.Preprint
77.Wang, W., D.E. Rivera, and K.G. Kempf, “Centralized Model Predictive Control Strategies for Inventory Management in Semiconductor Manufacturing Supply Chains,” 2003 American Control Conference, Denver, CO., June 4-6, 2003.Preprint Presentation
76.Rivera, D.E., W. Wang, M.W. Braun, and K.G. Kempf, “Control-oriented approaches to inventory management in semiconductor manufacturing supply chains,” paper 268c, 2002 AIChE Annual Meeting, Indianapolis, IN, Nov. 3-8, 2002.AIChE Presentation
75.Rivera, D.E., H. Lee, M.W. Braun, and H.D. Mittelmann, “Identification of multivariable process systems using constrained minimum crest factor multisine inputs,” paper 255f, 2002 AIChE Annual Meeting, Indianapolis, IN, Nov. 3-8, 2002.AIChE Presentation
74.Rivera, D.E., M.W. Braun, and H.D. Mittelmann,  “Constrained multisine inputs for plant-friendly identification of chemical processes,” 15th IFAC World Congress, Barcelona, Spain, July 21-26, 2002.Preprint
73.Braun, M.W., D.E. Rivera, W. M. Carlyle, and K. G. Kempf , “A Model Predictive Control Framework for Robust Management of Multi-Product, Multi-Echelon Demand Networks,” 15th IFAC World Congress, Barcelona, Spain, July 21-26, 2002.Preprint
72.Braun, M.W., D.E. Rivera, W. M. Carlyle, and K. G. Kempf , “Application of Model Predictive Control to Robust Management Of Multi-Product, Multi-Echelon Demand Networks in Semiconductor Manufacturing,” International Conference on Modeling and Analysis of Semiconductor Manufacturing (MASM 2002), April 10-12, 2002, pgs. 387-392.Preprint
71.Braun, M.W., D.E. Rivera, W. M. Carlyle, and K. G. Kempf , “A Model Predictive Control Framework for Robust Management of Multi-Product, Multi-Echelon Demand Networks,” 2002 NSF Design, Service and Manufacturing Grantees and Research Conference, San Juan, Puerto Rico, pgs. 1-15, January 7-10, 2002Preprint
70.Rivera, D.E., M.W. Braun, and H.D. Mittelmann, “Design of plant-friendly signals for fast identification using constrained minimum crest factor inputs,” Paper 279h, 2001 AIChE Annual Meeting, Reno, NV, Nov. 4-9, 2001, pp. 1-6.Presentation
69.Braun, M.W., D.E. Rivera, W. M. Carlyle, and K. G. Kempf , “Robust management of multi-product, multi-echelon demand networks using Model Predictive Control,” Paper 285e, 2001 AIChE Annual Meeting, Reno, NV, Nov. 4-9, 2001, pp. 1-55.Presentation
68.Yang, Lei and D.E. Rivera, “Integrated Identification and Model Predictive Control Using Iterative Refinement,” Proceedings of the 2001 American Control Conference , Arlington, VA, June 25-27, 2001, pgs. 1190-1195.IEEE Xplore
67.Flores, M.E., D.E. Rivera, and V. Smith-Daniels, “Managing Supply Chains Using Model Predictive Control,” AIChE 2000 Annual Meeting, Paper 262f, pgs. 1-10, November, 2000.Presentation
66.Braun, M.W., D.E. Rivera, and A. Stenman, “Model-On-Demand Model Predictive Control for Nonlinear Process Systems,” AIChE 2000 Annual Meeting, Paper 256h, pgs. 1 – 40, November, 2000.Presentation Record
65.Braun, M.W. R. Ortiz-Mojica, and D.E. Rivera, “Design of Minimum Crest Factor Multisinusoidal Signals for Model-On-Demand System Identification and Model Predictive Control,” AIChE 2000 Annual Meeting, Paper 252c, pgs. 1 – 37, November, 2000.Presentation
64.Rivera, D.E. and M.E. Flores. “Using a Gas-Oil Furnace Simulation to Introduce Meaningful System Identification Concepts in an Undergraduate Control Course,” AIChE 2000 Topical Conference on Chemical Engineering Education, Paper 61c, pgs. 321-328, November, 2000.Presentation Record
63.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,” Proceedings of the IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, CA, 1097-1102.Preprint
62.Rivera, D.E. and M. E. Flores, “Beyond Step Testing and Process Reaction Curves: Introducing Meaningful Identification Concepts in the Undergraduate Chemical Engineering Curriculum,” Proceedings of the IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, CA, pages 815-820.Preprint
61.Flores, M.E. and D. E. Rivera, “pIDtune: A Graphical Package for Integrated System Identification and PID Controller Design ,” Proceedings of the IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, CA, pages 681-686.Preprint
60.Braun, M.W, B. McNamara, D.E. Rivera, and A. Stenman, “Model-on-Demand Identification for Control: An Experimental Study and Feasibility Analysis for MoD-based Predictive Control,” Proceedings of the IFAC Symposium on System Identification (SYSID 2000), Santa Barbara, CA, pages 439-440.Preprint
59.Vargas-Villamil, F.D. and D.E. Rivera,  “A Model Predictive Control Approach for Real-Time Optimization of Reentrant Manufacturing Lines ,” Proceedings of the International Conference on Modeling and Analysis of Semiconductor Manufacturing (MASM 2000), pgs. 177-182, May 2000. 
58.Braun, M.W., D.E. Rivera, A. Stenman, and W. Foslien, “Comparison of Global Nonlinear Models and Model on Demand Estimation Applied to Identification of a RTP Wafer Reactor,” 1999 Control and Decision Conference, Phoenix, AZ, pgs. 3950-3955. 
57.Rivera, D.E. and M. E. Flores, “Plant-friendly Closed-Loop Identification Using Model Predictive Control,” Process Modeling, Identification and Estimation Session, 1999 AIChE National Meeting, Dallas, paper 227d, pgs. 1-8. 
56.Rivera, D.E., “Metodología para la Identificacion Integrada de Sistemas y Diseño de Controladores PID,” III Simposio Internacional de Automatización, TECSUP, Lima, Peru, October 21, 1999.  Pgs. 1-15. 
55.Adusumilli,, S., S. Dash,  D.E. Rivera,  and K. Tsakalis, “A Comparison of Identification-Based Performance Bounds for Robust Process Control,” IEEE Conference on Control Applications, Hawaii, August 22-27, 1999, pgs 594-599.IEEE Xplore
54.Braun, M.W., D.E. Rivera, A. Stenman, W. Foslien, and C. Hrenya, “Multi-level Pseudo-Random Signal Design and “Model on Demand” Estimation Applied to Nonlinear Identification of a RTP Wafer Reactor,” June 2-4, 1999 American Control Conference, San Diego, CA, pgs. 1573-1577.IEEE Xplore
53.Vargas-Villamil, F.D. and D.E. Rivera, “Adaptive Model Predictive Control for Production Optimization and Inventory Control of Semiconductor Reentrant Manufacturing Lines,” June, 2-4,1999 American Control Conference, San Diego, CA, pgs. 4087-4091.IEEE Xplore
52.Stenman, A., F. Gustafsson, D.E. Rivera, L. Ljung, T. McKelvey, “On Adaptive Smoothing of Empirical Transfer Function Estimates,” 1999 IFAC World Congress, Beijing, China, Volume H, pgs. 415-420, 1999. 
51.Vargas-Villamil, F.D. and D.E. Rivera, “Multi-Layer Optimization and Scheduling of Re-entrant Semiconductor Manufacturing Lines,” 1998 SEMATECH Advanced Equipment Control/Advanced Process Control Symposium X, Vail, Colorado, pgs. 687-705. 
50.Jun, K.S. and D.E. Rivera, “Systematic Identification, Control Structure Selection, and Controller Tuning for Temperature Control of Epitaxial Growth,” 1998 SEMATECH Advanced Equipment Control/Advanced Process Control Symposium X, Vail, Colorado, pgs. 673-686. 
49.Adusumilli, S., D.E. Rivera, S. Dash, and K. Tsakalis, “Integrated MIMO Identification and Robust PID Controller Design Using Loop Shaping,” 1998 American Control Conference, Philadelphia, PA, pgs. 1230-1234.IEEE Xplore
48.Rivera, D.E., S. Adusumilli, A. Stenman, F. Gustavsson, T. McKelvey, L. Ljung, “Just-in-time models for improved identification and control,” paper 193f, pgs. 1-8, 1997 AIChE Annual Meeting, Los Angeles. 
47.Rivera, D.E., S. Zong, and W.M. Ling, “A multivariable system identification methodology based on “zippered” Schroeder-phased inputs,” paper 195a, pgs. 1-10, 1997 AIChE Annual Meeting, Los Angeles. 
46.Vargas-Villamil, F. and D.E. Rivera, “Long-term scheduling of semiconductor fabrication plants using Model Predictive Control, paper 211f, pgs. 1-27, 1997 AIChE Annual Meeting, Los Angeles. 
45.S. Adusumilli and D.E. Rivera, “Integrated system identification and PID control design using Laguerre basis functions,” paper 214b, pgs. 1-33, 1997 AIChE Annual Meeting, Los Angeles. 
44.S. Adusumilli and D.E. Rivera, ” ASUtune : A program for integrated system identification and PID controller design,” 1997 IFAC Symposium on System Identification (SYSID’97), Fukuoka, Japan, July 8-11, 1997, pgs. 1579-1585. 
43.Ling, W.-M. and D.E. Rivera, “Multivariable impulse response estimation via correlation analysis and its application towards automated system identification,” 1997 IFAC Symposium on System Identification (SYSID’97), Fukuoka, Japan, July 8-11, 1997, pgs 1461-1466. 
42.Rivera, D.E., S. Zong and W.M. Ling, “A control-relevant multivariable system identification methodology based on orthogonal multifrequency input perturbations,” 1997 IFAC Symposium on System Identification (SYSID’97), Fukuoka, Japan, July 8-11, 1997, pgs 595-600. 
41.Jun, K.S. and D.E. Rivera, “High-order ARX estimation and its application to decentralized, decoupled, and full multivariable control,” 1997 IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM `97), Banff, Canada, June 9-11, 1997, pgs. 499-504. 
40.D.E. Rivera and S. Adusumilli,  “A methodology for integrated system identification and PID controller design,” 1997 IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM `97), Banff, Canada, June 9-11, 1997, pgs. 19-24. 
39.Vargas-Villamil, Felipe and D.E. Rivera, “Scheduling of reentrant manufacturing lines using a Model Predictive Control (MPC) approach,” 1997 American Control Conference, Albuquerque, NM, June 4-6, 1997, pgs. 1919-1923.IEEE Xplore
38.Jun, K.S., D.E. Rivera, K.S. Tsakalis, H.M. Liaw, E. Hall, and C. Stein, “PID Optimization for Temperature Control of Epitaxial Growth,” 191st Electrochemical Society Meeting, Montreal, Quebec, May 6-8, 1997.  Abstract:  296, pgs. 373-374; 
37.Rivera, D.E. “Retos en la identificación de procesos con modelos multivariables, con aplicación a una columna de destilacion de alta pureza,” (Challenges in system identification for the process industries, with application to high purity distillation), invited plenary paper,  II Congress of the Colombian Society for Automatic Control, Bucaramanga, Colombia, March 20, 1997, pgs. 1-17. 
36.Rivera, D.E., S. Adusumilli, S. Zong, S.V. Gaikwad, and X. Chen, “CONTROL-ID and ASUtune: Two Demonstration Prototypes for Integrated System Identification and Process Control,” 1997 Honeywell World-Wide Controls Workshop, Phoenix, AZ  January 15, 1997, pgs. 446-466. 
35.Rivera, D.E. “Control-Relevant Identification of Multivariable, Highly Interactive Systems,” 1997 Honeywell World-Wide Controls Workshop, Phoenix, AZ January 15, 1997, pgs. 398-442. 
34.Gaikwad, S.V. and D.E. Rivera, “Control-relevant input signal design for multivariable system identification: application to high purity distillation control,” 1996 IFAC World Congress , San Francisco, paper 7a-10-5P, Volume M, pgs. 349-354. 
33.Ling, W-M and D.E. Rivera, “Restricted complexity approximation of Volterra series models using a control-relevant approach,” 1996 IFAC World Congress , San Francisco, paper 7a-07-2, Volume M, pgs. 223-228. 
32.Ling, W-M and D.E. Rivera, “Control-relevant model reduction of Volterra series models,” Paper 183c, 1995 AIChE Annual Meeting , Miami Beach, November 15, 1995, pgs. 1-17. 
31.Gaikwad, S.V. and D.E. Rivera, “Control-relevant identification of ill-conditioned systems: two high-purity distillation case studies,” Paper 183i, 1995 AIChE Annual Meeting , Miami Beach, November 15, 1995, pgs. 1-7. 
30.Gaikwad, S.V. and D.E. Rivera,  “Integrated Identification and Control for Model Predictive Controllers,” paper 227a, 1994 AIChE  Annual Meeting , San Francisco, November 15, 1994, pgs. 1-23. 
29.Jun, K.S. and D.E. Rivera, “A Control-Relevant Methodology for Inferential Control Systems Using Partial Least-Squares Estimation,” paper 226g, 1994 AIChE  Annual Meeting , San Francisco, November 15, 1994. pgs. 1-14. 
28.Rivera, D.E., S.V. Gaikwad, X. Chen, and S. Bhatnagar, “CONTROL-ID: A Demonstration Prototype for Control-Relevant Identification of Process Systems,” 10th IFAC Symposium on System Identification , Copenhagen, Denmark, Vol. 4 pg. 5, 1994. 
27.Bhatnagar, S. and D.E. Rivera, “Closed-Loop Identification of Restricted Complexity Models for Feedback/Feedforward Control Using Iterative Refinement,” 1994 American Control Conference,  pgs . 3012-3016,  June, 1994. 
26.Rivera, D.E., S.V. Gaikwad and X. Chen, “CONTROL-ID: A Demonstration Prototype for Control-Relevant Identification,” 1994 American Control Conference , Baltimore, pgs. 2055-2059,  June, 1994. 
25.Jun, Kyoung-Shik and D.E. Rivera, “A Computer-Aided Design Tool for Robustness Analysis and Control-Relevant Identification of Horizon Predictive Control,” Fifth International Symposium on Process Systems Engineering , Kyongju, Korea,  pgs. 1071-1076, June, 1994. 
24.Rivera, D.E. and S.V. Gaikwad, “Systematic Techniques for Determining Modeling Requirements for SISO and MIMO Feedback Control Problems,” 1994 IFAC Symposium on Advanced Control of Chemical Processes , Kyoto, Japan, pgs. 17-22, May, 1994. 
23.Desai, A. and D.E. Rivera, “Controller Structure Definition via Intelligent Process Control,” 1994 Joint IEEE/IFAC Symposium on Computer-Aided Control System Design.,  Tucson , pgs 601-602, March, 1994. 
22.Gaikwad, S.V. and D.E. Rivera, “CONTROL-ID: An Integrated Framework for System Identification and Process Control,” 1994 Joint IEEE/IFAC Symposium on Computer-Aided Control System Design.,  Tucson , pgs 539-545, March 1994. 
21.Rivera, D.E., V.E. Sater, and M.K. Shetty, “A Novel Laboratory for Process Control Education,” Proceedings of the 1993 ASEE Pacific Southwest Section Annual Meeting and Conference , pgs. 247-264, October 1993. 
20.Rivera, D.E., A. Desai, T. Beaumariage and C. Roberts, “Knowledge-Based Framework for Controller Structure Selection in Intelligent Process Control,” Proceedings of the 1993 American Control Conference ,  San Francisco, pgs. 1890-1894, June 1993. 
19.Rivera, D.E. and S. Bhatnagar, “Closed-loop identification of restricted complexity models using iterative refinement,” Proceedings of the 1993 American Control Conference , San Francisco, pgs. 1993-1994, June 1993. 
18.Rivera, D.E., X. Chen, and D.S. Bayard, “Experimental Design for Robust Process Control Using Schroeder-Phased Input Signals,” Proceedings of the 1993 American Control Conference , San Francisco, pgs. 895-899, June 1993. 
17.Hamu, D. C. Roberts, T. Beaumariage, A. Desai and D.E. Rivera, “A Knowledge-base Framework for Intelligent Process Control,” 1993 Society for Computer Simulation Western Multiconference , San Diego,  pgs. 74-77, January 1993. 
16.Rivera, D.E. and S. Gaikwad, “Digital PID Controller Tuning using Prefiltered ARX Estimation,” Proceedings of the 31st IEEE Control and Decision Conference , Tucson, Arizona,  pgs. 68-69, 1992. 
15.Rivera, D.E. “Monitoring Tools for PRBS Testing in System Identification,” Paper 131d, AIChE Annual Meeting , Miami Beach,  pgs. 1-18, 1992. 
14.Rivera, D.E., K.S. Jun, E. Elisante, V.E. Sater, and B.C. Horn, “Robustness and Identification Issues in Horizon Predictive Control with Application to a Binary Distillation Column,” Proceedings of the 1992 American Control Conference , Chicago, pgs. 3031-3036, 1992. 
13.Rivera, D.E. and S. Gaikwad, “Modeling for Control Design in Combined Feedback / Feedforward Control, Proceedings of the 1992 American Control Conference , Chicago, pgs. 1445-1446, June 1992. 
12.Rivera, D.E. and A. Tedja, “A control-relevant methodology for closed-loop identification,” Paper 144b, AIChE Annual Meeting , Los Angeles, pgs. 1-26, 1991. 
11.Rivera, D.E., “Towards an integrated methodology for the identification and design of robust, low-order controllers,”  Paper 154a,  AIChE Annual Meeting ,  Los Angeles,  pgs. 1-25, 1991. 
10.Rivera, D.E., “Control-relevant parameter estimation: a systematic procedure for prefilter design,”  Proceedings of the 1991 American Control Conference , Boston,  pgs. 237-242, 1991. 
9.Rivera, D.E., J.F. Pollard, and C.E. García, “Control-relevant parameter estimation via prediction-error methods: implications for digital PID and QDMC control,”  AIChE Annual Meeting , Chicago, Paper 4a, pgs. 1-35, 1990. 
8.Rivera, D.E., J.F. Pollard, L.E. Sterman, and C.E. Garcia, “An industrial perspective on control-relevant identification,” Proceedings of the 1990 American Control Conference , San Diego, pgs. 2406-2411, 1990. 
7.Rivera, D.E., “A structured singular value test for variable selection and pairing,” Proceedings of the 1989 American Control Conference, Pittsburgh, pgs. 560-565, 1989. 
6.Rivera, D.E. and M. Morari, “Plant and controller reduction problems for closed-loop performance,” Proceedings of the 1988 Control and Decision Conference , Austin, December, pgs. 1143-1148, 1988. < 
5.Rivera, D.E., C. Webb, and M. Morari, “A control-relevant identification methodology,”  AIChE Annual Meeting ,  New York, Paper No. 82b, pgs. 1-20, November, 1987.  
4.Lewin, D.R., R.E. Heersink, A. Skjellum, D.L. Laughlin, D.E. Rivera, and M. Morari, “ROBEX:  robust control synthesis via expert system,” Proceedings of the IFAC 10th World Congress on Automatic Control , Munich, Vol. 6, pgs. 369-374, 1987.  
3.Rivera, D.E. and M. Morari, “Internal Model Control perspectives on model reduction,” Proceedings of the 1985 American Control Conference , Boston, June 1985.  
2.Morari, M. S. Skogestad, and D.E. Rivera, “Implications of Internal Model Control for PID Controllers,” Proceedings of the 1984 American Control Conference ,  San Diego, June 1984.  
1.Rivera, D.E., “Multitask capabilities for a PET microcomputer using FORTH,” Proceedings of the 1982 Rochester FORTH conference , May 1982.