Daniel E. Rivera

86 papers B 2C 33Misc 2Journal 28Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multisine input signal design for constrained, "plant-friendly" system identification of nonlinear systems. IFAC J. Syst. Control. Sarasij Banerjee, Eric B. Hekler, Daniel E. Rivera
2025	C	`conf`	A Data-Driven Hybrid Model Predictive Control Framework for Managing Epidemics Using 3DoF-KF HMPC. ACC Sarasij Banerjee, Mohamed El Mistiri, Owais Khan, Daniel E. Rivera
2025	C	`conf`	An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control. ACC Owais Khan, Francesco Campregher, Daniel E. Rivera, Antonio Visioli, Abigail M. Pauley, Danielle Symons Downs
2025	J	`jnl`	Model predictive control in mHealth: a decision framework for optimised personalised physical activity interventions. Int. J. Control Mohamed El Mistiri, Daniel E. Rivera, Predrag Klasnja, Junghwan Park, Eric B. Hekler
2025	—	`conf`	Optimizing CPAP Adherence and Quality of Life in Obstructive Sleep Apnea Patients using 3DoF-KF Hybrid Model Predictive Control. CCTA Owais Khan, Daniel E. Rivera, Megan E. Petrov, Matthew P. Buman
2025	C	`conf`	YourMove: A System Identification and Hybrid Model Predictive Control Personalized mHealth Intervention for Physical Activity. ACC Mohamed El Mistiri, Junghwan Park, Owais Khan, Sarasij Banerjee, Eric B. Hekler, Daniel E. Rivera
2024	J	`jnl`	Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. J. Biomed. Informatics Steven De La Torre, Mohamed El Mistiri, Eric B. Hekler, Predrag Klasnja, Benjamin M. Marlin, Misha Pavel, Donna Spruijt-Metz, Daniel E. Rivera
2023	C	`conf`	Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation. ACC Rachael T. Kha, Daniel E. Rivera, Predrag V. Klasnja, Eric B. Hekler
2023	C	`conf`	System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity. ACC Mohamed El Mistiri, Owais Khan, Daniel E. Rivera, Eric B. Hekler
2022	—	`conf`	A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity. CDC Owais Khan, Mohamed El Mistiri, Daniel E. Rivera, Cesar A. Martin, Eric B. Hekler
2022	J	`jnl`	BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. CoRR 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
2022	B	`conf`	BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. CHASE 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
2022	C	`conf`	Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States. ACC Mohamed El Mistiri, Daniel E. Rivera, Predrag V. Klasnja, Junghwan Park, Eric B. Hekler
2022	C	`conf`	Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation. ACC Rachael T. Kha, Daniel E. Rivera, Predrag V. Klasnja, Eric B. Hekler
2022	C	`conf`	Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity. ACC Mohamed El Mistiri, Daniel E. Rivera, Predrag V. Klasnja, Junghwan Park, Eric B. Hekler
2022	J	`jnl`	Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Comput. Chem. Eng. Penghong Guo, Daniel E. Rivera, Yuwen Dong, Sunil Deshpande, Jennifer S. Savage, Emily E. Hohman, Abigail M. Pauley, Krista S. Leonard, Danielle Symons Downs
2020	J	`jnl`	Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. IEEE Trans. Control. Syst. Technol. César A. Martín, Daniel E. Rivera, Eric B. Hekler, William T. Riley, Matthew P. Buman, Marc A. Adams, Alicia B. Magann
2020	J	`jnl`	Foreword Identification and Control in Biomedical Applications. IEEE Trans. Control. Syst. Technol. Guillaume Mercère, Alexander Medvedev, Daniel E. Rivera, Caterina M. Scoglio, Bayu Jayawardhana
2020	J	`jnl`	System Identification Approaches for Energy Intake Estimation: Enhancing Interventions for Managing Gestational Weight Gain. IEEE Trans. Control. Syst. Technol. Penghong Guo, Daniel E. Rivera, Jennifer S. Savage, Emily E. Hohman, Abigail M. Pauley, Krista S. Leonard, Danielle S. Downs
2020	J	`jnl`	System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations. IEEE Trans. Control. Syst. Technol. Paulo J. Lopes dos Santos, Mohammad T. Freigoun, César A. Martín, Daniel E. Rivera, Eric B. Hekler, Rodrigo Alvite Romano, Teresa Paula Azevedo Perdicoúlis
2018	J	`jnl`	Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. J. Biomed. Informatics 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
2017	—	`ch.`	Control Systems Engineering for Optimizing Behavioral mHealth Interventions. Mobile Health - Sensors, Analytic Methods, and Applications Daniel E. Rivera, César A. Martín, Kevin P. Timms, Sunil Deshpande, Naresh N. Nandola, Eric B. Hekler
2017	—	`conf`	LPV system identification using the matchable observable linear identification approach. CDC P. Lopes dos Santos, R. Romano, T.-P. Azevedo-Perdicoúlis, Daniel E. Rivera, José A. Ramos
2017	—	`ch.`	Modeling Opportunities in mHealth Cyber-Physical Systems. Mobile Health - Sensors, Analytic Methods, and Applications Wendy Nilsen, Emre Ertin, Eric B. Hekler, Santosh Kumar, Insup Lee, Rahul Mangharam, Misha Pavel, James M. Rehg, William T. Riley, Daniel E. Rivera, Donna Spruijt-Metz
2017	C	`conf`	System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity. ACC Mohammad T. Freigoun, Cesar A. Martin, Alicia B. Magann, Daniel E. Rivera, Sayali S. Phatak, Elizabeth V. Korinek, Eric B. Hekler
2016	C	`conf`	A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control. ACC Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
2016	—	`conf`	An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates. CDC Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
2016	B	`conf`	Formalization of Computational Human Behavior Models for Contextual Persuasive Technology. PERSUASIVE Tylar Murray, Eric B. Hekler, Donna Spruijt-Metz, Daniel E. Rivera, Andrew Raij
2016	C	`conf`	Semi-physical identification and state estimation of energy intake for interventions to manage gestational weight gain. ACC Penghong Guo, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage
2015	C	`conf`	A system identification approach for improving behavioral interventions based on Social Cognitive Theory. ACC Cesar A. Martin, Sunil Deshpande, Eric B. Hekler, Daniel E. Rivera
2015	—	`conf`	An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation. CDC Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler
2014	C	`conf`	A Hybrid Model Predictive Control strategy for optimizing a smoking cessation intervention. ACC Kevin P. Timms, Daniel E. Rivera, Megan E. Piper, Linda M. Collins
2014	J	`jnl`	A control-relevant approach to demand modeling for supply chain management. Comput. Chem. Eng. Jay D. Schwartz, Daniel E. Rivera
2014	C	`conf`	A dynamical systems model of Social Cognitive Theory. ACC Cesar A. Martin, Daniel E. Rivera, William T. Riley, Eric B. Hekler, Matthew P. Buman, Marc A. Adams, Abby C. King
2014	J	`jnl`	Constrained Optimal Input Signal Design for Data-Centric Estimation Methods. IEEE Trans. Autom. Control. Sunil Deshpande, Daniel E. Rivera
2014	J	`jnl`	Continuous-time system identification of a smoking cessation intervention. Int. J. Control Kevin P. Timms, Daniel E. Rivera, Linda M. Collins, Megan E. Piper
2014	—	`conf`	Data-centric input signal design for highly interactive dynamical systems. CDC Sunil Deshpande, Daniel E. Rivera
2014	J	`jnl`	Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. IEEE Trans. Autom. Control. Diego Regruto, Fabrizio Dabbene, Daniel E. Rivera
2014	C	`conf`	Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions. ACC Yuwen Dong, Sunil Deshpande, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage
2014	—	`conf`	LPV system identification using a separable least squares support vector machines approach. CDC Paulo J. Lopes dos Santos, T.-P. Azevedo-Perdicoúlis, José A. Ramos, Sunil Deshpande, Daniel E. Rivera, Jorge Leite Martins de Carvalho
2014	—	`conf`	Leveraging intensive longitudinal data to better understand health behaviors. EMBC Kevin P. Timms, Cesar A. Martin, Daniel E. Rivera, Eric B. Hekler, William T. Riley
2014	—	`conf`	The importance of behavior theory in control system modeling of physical activity sensor data. EMBC William T. Riley, Cesar A. Martin, Daniel E. Rivera
2014	—	`conf`	Towards data-centric input signal design using sparse polynomial optimization. CDC Sunil Deshpande, Daniel E. Rivera
2013	—	`conf`	A data-centric system identification approach to input signal design for Hammerstein systems. CDC Sunil Deshpande, Daniel E. Rivera
2013	J	`jnl`	An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems. IEEE Trans. Control. Syst. Technol. Naresh N. Nandola, Daniel E. Rivera
2013	C	`conf`	Control systems engineering for understanding and optimizing smoking cessation interventions. ACC Kevin P. Timms, Daniel E. Rivera, Linda M. Collins, Megan E. Piper
2013	C	`conf`	Hybrid model predictive control for optimizing gestational weight gain behavioral interventions. ACC Yuwen Dong, Daniel E. Rivera, Danielle S. Downs, Jennifer S. Savage, Diana M. Thomas, Linda M. Collins
2013	C	`conf`	Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment. ACC P. Lopes dos Santos, Sunil Deshpande, Daniel E. Rivera, T.-P. Azevedo-Perdicoúlis, José A. Ramos, Jarred Younger
2013	C	`conf`	Optimal input signal design for data-centric estimation methods. ACC Sunil Deshpande, Daniel E. Rivera
2012	J	`jnl`	A control engineering framework for managing whole hospital occupancy. Math. Comput. Model. Kevin T. Roche, Daniel E. Rivera, Jeffery K. Cochran
2012	C	`conf`	A dynamical systems model for improving gestational weight gain behavioral interventions. ACC Yuwen Dong, Daniel E. Rivera, Diana M. Thomas, Jesús Emeterio Navarro-Barrientos, Danielle S. Downs, Jennifer S. Savage, Linda M. Collins
2012	J	`jnl`	An interactive software tool for system identification. Adv. Eng. Softw. José Luis Guzmán, Daniel E. Rivera, Sebastián Dormido, Manuel Berenguel
2011	J	`jnl`	A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health. IEEE Trans. Control. Syst. Technol. Ascensión Zafra-Cabeza, Daniel E. Rivera, Linda M. Collins, Miguel A. Ridao, Eduardo F. Camacho
2011	C	`conf`	A control engineering approach for designing an optimized treatment plan for fibromyalgia. ACC Sunil Deshpande, Naresh N. Nandola, Daniel E. Rivera, Jarred Younger
2011	J	`jnl`	Plant-Friendly Signal Generation for System Identification Using a Modified Simultaneous Perturbation Stochastic Approximation (SPSA) Methodology. IEEE Trans. Control. Syst. Technol. Richard Steenis, Daniel E. Rivera
2010	—	`conf`	A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss. SBP Jesús Emeterio Navarro-Barrientos, Daniel E. Rivera, Linda M. Collins
2010	C	`conf`	A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. ACC Naresh N. Nandola, Daniel E. Rivera
2010	—	`conf`	Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions. CDC Naresh N. Nandola, Daniel E. Rivera
2010	C	`conf`	Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals. ACC Richard Steenis, Daniel E. Rivera
2009	—	`conf`	Application of robustified Model Predictive Control to a production-inventory system. CDC Cristina Stoica, Manuel R. Arahal, Daniel E. Rivera, Pedro Rodríguez-Ayerbe, Didier Dumur
2009	—	`conf`	Control-relevant estimation of demand models for closed-loop control of a production-inventory system. CDC Jay D. Schwartz, Daniel E. Rivera
2009	J	`jnl`	Inner and outer loop optimization in semiconductor manufacturing supply chain management. Comput. Manag. Sci. Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
2009	—	`conf`	Plant-friendly signal generation for system identification using a modified SPSA methodology. CDC Richard Steenis, Daniel E. Rivera
2008	C	`conf`	Control-relevant demand forecasting for management of a production-inventory system. ACC Jay D. Schwartz, Manuel R. Arahal, Daniel E. Rivera
2008	J	`jnl`	Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management. IEEE Trans. Control. Syst. Technol. Wenlin Wang, Daniel E. Rivera
2007	—	`conf`	Multi-Objective Control-Relevant Demand Modeling for Production and Inventory Control. CASE Jay D. Schwartz, Daniel E. Rivera
2007	C	`conf`	Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control. ACC Hyunjin Lee, Daniel E. Rivera, Hans D. Mittelmann, Gautam V. Pendse
2007	J	`jnl`	Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria. Comput. Optim. Appl. Hans D. Mittelmann, Gautam V. Pendse, Daniel E. Rivera, Hyunjin Lee
2006	—	`conf`	A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health. CDC Ascensión Zafra-Cabeza, Daniel E. Rivera, Linda M. Collins, Miguel A. Ridao, Eduardo F. Camacho
2006	C	`conf`	An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariate systems. ACC Hyunjin Lee, Daniel E. Rivera
2006	Misc	`conf`	Flexible experimentation and analysis for hybrid DEVS and MPC models. WSC Dongping Huang, Hessam S. Sarjoughian, Gary W. Godding, Daniel E. Rivera, Karl G. Kempf
2006	C	`conf`	Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation. ACC Jay D. Schwartz, Daniel E. Rivera
2006	J	`jnl`	Simulation-based optimization of process control policies for inventory management in supply chains. Autom. Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
2005	C	`conf`	A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. ACC Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
2005	C	`conf`	Control-relevant curvefitting for plant-friendly multivariable system identification. ACC Hyunjin Lee, Daniel E. Rivera
2005	—	`conf`	Evaluating PID Control for Supply Chain Management: A Freshman Design Project. CDC/ECC Daniel E. Rivera, Michael D. Pew
2005	Misc	`conf`	Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. WSC Hessam S. Sarjoughian, Dongping Huang, Gary W. Godding, Karl G. Kempf, Wenlin Wang, Daniel E. Rivera, Hans D. Mittelmann
2005	C	`conf`	Towards control-relevant forecasting in supply chain management. ACC Jay D. Schwartz, Daniel E. Rivera, Karl G. Kempf
2004	C	`conf`	A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. ACC Wenlin Wang, Daniel E. Rivera, Karl G. Kempf, Kirk D. Smith
2003	J	`jnl`	A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks. Annu. Rev. Control. Martin W. Braun, Daniel E. Rivera, M. E. Flores, W. Matthew Carlyle, Karl G. Kempf
2003	J	`jnl`	A hierarchical approach to production control of reentrant semiconductor manufacturing lines. IEEE Trans. Control. Syst. Technol. Felipe D. Vargas-Villamil, Daniel E. Rivera, Karl G. Kempf
2003	J	`jnl`	Application of Model Predictive Control to Robust Management of Multiechelon Demand Networks in Semiconductor Manufacturing. Simul. Martin W. Braun, Daniel E. Rivera, W. Matthew Carlyle, Karl G. Kempf
2003	C	`conf`	Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. ACC Wenlin Wang, Daniel E. Rivera, Karl G. Kempf
2001	J	`jnl`	A model predictive control approach for real-time optimization of reentrant manufacturing lines. Comput. Ind. Felipe D. Vargas-Villamil, Daniel E. Rivera
2001	C	`conf`	Integrated identification and model predictive control using iterative refinement. ACC Lei Yang, Daniel E. Rivera
1990	J	`jnl`	Low-order SISO controller tuning methods for the H Autom. Daniel E. Rivera, Manfred Morari