Daniel E. Rivera

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 20

Top Topics

Physical Activity

Probabilistic Modeling

Control Strategy

Predictive Control

Top Venues

IEEE Trans. Control. Syst. Technol.

IEEE Trans. Autom. Control.

Publications

Mohamed El Mistiri, Owais Khan, Daniel E. Rivera, Eric B. Hekler
System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity. ACC (2023)
Rachael T. Kha, Daniel E. Rivera, Predrag V. Klasnja, Eric B. Hekler
Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation. ACC (2023)
Karine Tung, Steven De La Torre, Mohamed El Mistiri, Rebecca Braga De Braganca, Eric B. Hekler, Misha Pavel, Daniel E. Rivera, Pedja Klasnja, Donna Spruijt-Metz, Benjamin M. Marlin
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. CoRR (2022)
Penghong Guo, Daniel E. Rivera, Yuwen Dong, Sunil Deshpande, Jennifer S. Savage, Emily E. Hohman, Abigail M. Pauley, Krista S. Leonard, Danielle Symons Downs
Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Comput. Chem. Eng. 160 (2022)
Rachael T. Kha, Daniel E. Rivera, Predrag V. Klasnja, Eric B. Hekler
Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation. ACC (2022)
Mohamed El Mistiri, Daniel E. Rivera, Predrag V. Klasnja, Junghwan Park, Eric B. Hekler
Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States. ACC (2022)
Karine Tung, Steven De La Torre, Mohamed El Mistiri, Rebecca Braga De Braganca, Eric B. Hekler, Misha Pavel, Daniel E. Rivera, Pedja Klasnja, Donna Spruijt-Metz, Benjamin M. Marlin
BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. CHASE (2022)
Owais Khan, Mohamed El Mistiri, Daniel E. Rivera, Cesar A. Martin, Eric B. Hekler
A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity. CDC (2022)
Mohamed El Mistiri, Daniel E. Rivera, Predrag V. Klasnja, Junghwan Park, Eric B. Hekler
Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity. ACC (2022)
Penghong Guo, Daniel E. Rivera, Jennifer S. Savage, Emily E. Hohman, Abigail M. Pauley, Krista S. Leonard, Danielle S. Downs
System Identification Approaches for Energy Intake Estimation: Enhancing Interventions for Managing Gestational Weight Gain. IEEE Trans. Control. Syst. Technol. 28 (1) (2020)
César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Guillaume Mercère, Alexander Medvedev, Daniel E. Rivera, Caterina M. Scoglio, Bayu Jayawardhana
Foreword Identification and Control in Biomedical Applications. IEEE Trans. Control. Syst. Technol. 28 (1) (2020)
Paulo J. Lopes dos Santos, Mohammad T. Freigoun, César A. Martín, Daniel E. Rivera, Eric B. Hekler, Rodrigo Alvite Romano, Teresa Paula Azevedo Perdicoúlis
System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations. IEEE Trans. Control. Syst. Technol. 28 (1) (2020)
Sayali S. Phatak, Mohammad T. Freigoun, César A. Martín, Daniel E. Rivera, Elizabeth V. Korinek, Marc A. Adams, Matthew P. Buman, Predrag V. Klasnja, Eric B. Hekler
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. J. Biomed. Informatics 79 (2018)
P. Lopes dos Santos, R. Romano, T.-P. Azevedo-Perdicoúlis, Daniel E. Rivera, José A. Ramos
LPV system identification using the matchable observable linear identification approach. CDC (2017)
Mohammad T. Freigoun, Cesar A. Martin, Alicia B. Magann, Daniel E. Rivera, Sayali S. Phatak, Elizabeth V. Korinek, Eric B. Hekler
System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity. ACC (2017)
Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control. ACC (2016)
Tylar Murray, Eric B. Hekler, Donna Spruijt-Metz, Daniel E. Rivera, Andrew Raij
Formalization of Computational Human Behavior Models for Contextual Persuasive Technology. PERSUASIVE (2016)
Penghong Guo, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage
Semi-physical identification and state estimation of energy intake for interventions to manage gestational weight gain. ACC (2016)
Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates. CDC (2016)
Cesar A. Martin, Sunil Deshpande, Eric B. Hekler, Daniel E. Rivera
A system identification approach for improving behavioral interventions based on Social Cognitive Theory. ACC (2015)
Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation. CDC (2015)
Sunil Deshpande, Daniel E. Rivera
Towards data-centric input signal design using sparse polynomial optimization. CDC (2014)
Diego Regruto, Fabrizio Dabbene, Daniel E. Rivera
Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. IEEE Trans. Autom. Control. 59 (11) (2014)
Kevin P. Timms, Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler, William T. Riley
Leveraging intensive longitudinal data to better understand health behaviors. EMBC (2014)
Kevin P. Timms, Daniel E. Rivera, Linda M. Collins, Megan E. Piper
Continuous-time system identification of a smoking cessation intervention. Int. J. Control 87 (7) (2014)
Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King
A dynamical systems model of Social Cognitive Theory. ACC (2014)
Yuwen Dong, Sunil Deshpande, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage
Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions. ACC (2014)
William T. Riley, Cesar A. Martin, Daniel E. Rivera
The importance of behavior theory in control system modeling of physical activity sensor data. EMBC (2014)
Sunil Deshpande, Daniel E. Rivera
Constrained Optimal Input Signal Design for Data-Centric Estimation Methods. IEEE Trans. Autom. Control. 59 (11) (2014)
Sunil Deshpande, Daniel E. Rivera
Data-centric input signal design for highly interactive dynamical systems. CDC (2014)
Jay D. Schwartz, Daniel E. Rivera
A control-relevant approach to demand modeling for supply chain management. Comput. Chem. Eng. 70 (2014)
Kevin P. Timms, Daniel E. Rivera, Megan E. Piper, Linda M. Collins
A Hybrid Model Predictive Control strategy for optimizing a smoking cessation intervention. ACC (2014)
Paulo J. Lopes dos Santos, T.-P. Azevedo-Perdicoúlis, José A. Ramos, Sunil Deshpande, Daniel E. Rivera, Jorge Leite Martins de Carvalho
LPV system identification using a separable least squares support vector machines approach. CDC (2014)
Naresh N. Nandola, Daniel E. Rivera
An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems. IEEE Trans. Control. Syst. Technol. 21 (1) (2013)
Sunil Deshpande, Daniel E. Rivera
Optimal input signal design for data-centric estimation methods. ACC (2013)
Kevin P. Timms, Daniel E. Rivera, Linda M. Collins, Megan E. Piper
Control systems engineering for understanding and optimizing smoking cessation interventions. ACC (2013)
Sunil Deshpande, Daniel E. Rivera
A data-centric system identification approach to input signal design for Hammerstein systems. CDC (2013)
Yuwen Dong, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage, Diana M. Thomas, Linda M. Collins
Hybrid model predictive control for optimizing gestational weight gain behavioral interventions. ACC (2013)
P. Lopes dos Santos, Sunil Deshpande, Daniel E. Rivera, T.-P. Azevedo-Perdicoúlis, José A. Ramos, Jarred Younger
Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment. ACC (2013)
José Luis Guzmán, Daniel E. Rivera, Sebastián Dormido, Manuel Berenguel
An interactive software tool for system identification. Adv. Eng. Softw. 45 (1) (2012)
Yuwen Dong, Daniel E. Rivera, Diana M. Thomas, Jesús Emeterio Navarro-Barrientos, Danielle S. Downs, Jennifer S. Savage, Linda M. Collins
A dynamical systems model for improving gestational weight gain behavioral interventions. ACC (2012)
Kevin T. Roche, Daniel E. Rivera, Jeffery K. Cochran
A control engineering framework for managing whole hospital occupancy. Math. Comput. Model. 55 (3-4) (2012)
Ascensión Zafra-Cabeza, Daniel E. Rivera, Linda M. Collins, Miguel A. Ridao, Eduardo F. Camacho
A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health. IEEE Trans. Control. Syst. Technol. 19 (4) (2011)
Sunil Deshpande, Naresh N. Nandola, Daniel E. Rivera, Jarred Younger
A control engineering approach for designing an optimized treatment plan for fibromyalgia. ACC (2011)
Richard Steenis, Daniel E. Rivera
Plant-Friendly Signal Generation for System Identification Using a Modified Simultaneous Perturbation Stochastic Approximation (SPSA) Methodology. IEEE Trans. Control. Syst. Technol. 19 (6) (2011)
Naresh N. Nandola, Daniel E. Rivera
A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. ACC (2010)
Jesús Emeterio Navarro-Barrientos, Daniel E. Rivera, Linda M. Collins
A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss. SBP (2010)
Richard Steenis, Daniel E. Rivera
Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals. ACC (2010)
Naresh N. Nandola, Daniel E. Rivera
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions. CDC (2010)
Richard Steenis, Daniel E. Rivera
Plant-friendly signal generation for system identification using a modified SPSA methodology. CDC (2009)
Jay D. Schwartz, Daniel E. Rivera
Control-relevant estimation of demand models for closed-loop control of a production-inventory system. CDC (2009)
Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
Inner and outer loop optimization in semiconductor manufacturing supply chain management. Comput. Manag. Sci. 6 (4) (2009)
Cristina Stoica, Manuel R. Arahal, Daniel E. Rivera, Pedro Rodríguez-Ayerbe, Didier Dumur
Application of robustified Model Predictive Control to a production-inventory system. CDC (2009)
Wenlin Wang, Daniel E. Rivera
Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management. IEEE Trans. Control. Syst. Technol. 16 (5) (2008)
Jay D. Schwartz, Manuel R. Arahal, Daniel E. Rivera
Control-relevant demand forecasting for management of a production-inventory system. ACC (2008)
Hyunjin Lee, Daniel E. Rivera, Hans D. Mittelmann, Gautam V. Pendse
Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control. ACC (2007)
Hans D. Mittelmann, Gautam V. Pendse, Daniel E. Rivera, Hyunjin Lee
Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria. Comput. Optim. Appl. 38 (1) (2007)
Jay D. Schwartz, Daniel E. Rivera
Multi-Objective Control-Relevant Demand Modeling for Production and Inventory Control. CASE (2007)
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
Simulation-based optimization of process control policies for inventory management in supply chains. Autom. 42 (8) (2006)
Ascensión Zafra-Cabeza, Daniel E. Rivera, Linda M. Collins, Miguel A. Ridao, Eduardo F. Camacho
A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health. CDC (2006)
Dongping Huang, Hessam S. Sarjoughian, Gary W. Godding, Daniel E. Rivera, Karl G. Kempf
Flexible experimentation and analysis for hybrid DEVS and MPC models. WSC (2006)
Hyunjin Lee, Daniel E. Rivera
An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariate systems. ACC (2006)
Jay D. Schwartz, Daniel E. Rivera
Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation. ACC (2006)
Hessam S. Sarjoughian, Dongping Huang, Gary W. Godding, Karl G. Kempf, Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. WSC (2005)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. ACC (2005)
Daniel E. Rivera, Michael D. Pew
Evaluating PID Control for Supply Chain Management: A Freshman Design Project. CDC/ECC (2005)
Hyunjin Lee, Daniel E. Rivera
Control-relevant curvefitting for plant-friendly multivariable system identification. ACC (2005)
Jay D. Schwartz, Daniel E. Rivera, Karl G. Kempf
Towards control-relevant forecasting in supply chain management. ACC (2005)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf, Kirk D. Smith
A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. ACC (2004)
Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. ACC (2003)
Martin W. Braun, Daniel E. Rivera, M. E. Flores, W. Matthew Carlyle, Karl G. Kempf
A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks. Annu. Rev. Control. 27 (2) (2003)
Martin W. Braun, Daniel E. Rivera, W. Matthew Carlyle, Karl G. Kempf
Application of Model Predictive Control to Robust Management of Multiechelon Demand Networks in Semiconductor Manufacturing. Simul. 79 (3) (2003)
Felipe D. Vargas-Villamil, Daniel E. Rivera, Karl G. Kempf
A hierarchical approach to production control of reentrant semiconductor manufacturing lines. IEEE Trans. Control. Syst. Technol. 11 (4) (2003)
Felipe D. Vargas-Villamil, Daniel E. Rivera
A model predictive control approach for real-time optimization of reentrant manufacturing lines. Comput. Ind. 45 (1) (2001)
Lei Yang, Daniel E. Rivera
Integrated identification and model predictive control using iterative refinement. ACC (2001)
Daniel E. Rivera, Manfred Morari
and μ objective functions. Autom. 26 (2) (1990)