Low-order SISO controller tuning methods for the H2, H∞ and μ objective functions. - Daniel E. Rivera; Manfred Morari (Autom., 1990)

Integrated identification and model predictive control using iterative refinement. - Lei Yang; Daniel E. Rivera (ACC, 2001)

A model predictive control approach for real-time optimization of reentrant manufacturing lines. - Felipe D. Vargas-Villamil; Daniel E. Rivera (Comput. Ind., 2001)

Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf (ACC, 2003)

A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks. - Martin W. Braun; Daniel E. Rivera; M. E. Flores; W. Matthew Carlyle; Karl G. Kempf (Annu. Rev. Control., 2003)

Application of Model Predictive Control to Robust Management of Multiechelon Demand Networks in Semiconductor Manufacturing. - Martin W. Braun; Daniel E. Rivera; W. Matthew Carlyle; Karl G. Kempf (Simul., 2003)

A hierarchical approach to production control of reentrant semiconductor manufacturing lines. - Felipe D. Vargas-Villamil; Daniel E. Rivera; Karl G. Kempf (IEEE Trans. Control. Syst. Technol., 2003)

A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf; Kirk D. Smith (ACC, 2004)

Control-relevant curvefitting for plant-friendly multivariable system identification. - Hyunjin Lee; Daniel E. Rivera (ACC, 2005)

Towards control-relevant forecasting in supply chain management. - Jay D. Schwartz; Daniel E. Rivera; Karl G. Kempf (ACC, 2005)

A novel model predictive control algorithm for supply chain management in semiconductor manufacturing. - Wenlin Wang; Daniel E. Rivera; Karl G. Kempf (ACC, 2005)

Evaluating PID Control for Supply Chain Management: A Freshman Design Project. - Daniel E. Rivera; Michael D. Pew (CDC/ECC, 2005)

Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing. - Hessam S. Sarjoughian; Dongping Huang; Gary W. Godding; Karl G. Kempf; Wenlin Wang; Daniel E. Rivera; Hans D. Mittelmann (WSC, 2005)

An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariate systems. - Hyunjin Lee; Daniel E. Rivera (ACC, 2006)

Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation. - Jay D. Schwartz; Daniel E. Rivera (ACC, 2006)

Flexible experimentation and analysis for hybrid DEVS and MPC models. - Dongping Huang; Hessam S. Sarjoughian; Gary W. Godding; Daniel E. Rivera; Karl G. Kempf (WSC, 2006)

Simulation-based optimization of process control policies for inventory management in supply chains. - Jay D. Schwartz; Wenlin Wang; Daniel E. Rivera (Autom., 2006)

Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control. - Hyunjin Lee; Daniel E. Rivera; Hans D. Mittelmann; Gautam V. Pendse (ACC, 2007)

Multi-Objective Control-Relevant Demand Modeling for Production and Inventory Control. - Jay D. Schwartz; Daniel E. Rivera (CASE, 2007)

Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria. - Hans D. Mittelmann; Gautam V. Pendse; Daniel E. Rivera; Hyunjin Lee (Comput. Optim. Appl., 2007)

Control-relevant demand forecasting for management of a production-inventory system. - Jay D. Schwartz; Manuel R. Arahal; Daniel E. Rivera (ACC, 2008)

Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management. - Wenlin Wang; Daniel E. Rivera (IEEE Trans. Control. Syst. Technol., 2008)

Control-relevant estimation of demand models for closed-loop control of a production-inventory system. - Jay D. Schwartz; Daniel E. Rivera (CDC, 2009)

Plant-friendly signal generation for system identification using a modified SPSA methodology. - Richard Steenis; Daniel E. Rivera (CDC, 2009)

Application of robustified Model Predictive Control to a production-inventory system. - Cristina Stoica 001; Manuel R. Arahal; Daniel E. Rivera; Pedro Rodríguez-Ayerbe; Didier Dumur (CDC, 2009)

Inner and outer loop optimization in semiconductor manufacturing supply chain management. - Wenlin Wang; Daniel E. Rivera; Hans D. Mittelmann (Comput. Manag. Sci., 2009)

A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions. - Naresh N. Nandola; Daniel E. Rivera (ACC, 2010)

Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals. - Richard Steenis; Daniel E. Rivera (ACC, 2010)

Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions. - Naresh N. Nandola; Daniel E. Rivera (CDC, 2010)

A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss. - Jesús Emeterio Navarro-Barrientos; Daniel E. Rivera; Linda M. Collins (SBP, 2010)

A control engineering approach for designing an optimized treatment plan for fibromyalgia. - Sunil Deshpande; Naresh N. Nandola; Daniel E. Rivera; Jarred Younger (ACC, 2011)

Plant-Friendly Signal Generation for System Identification Using a Modified Simultaneous Perturbation Stochastic Approximation (SPSA) Methodology. - Richard Steenis; Daniel E. Rivera (IEEE Trans. Control. Syst. Technol., 2011)

A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health. - Ascensión Zafra-Cabeza; Daniel E. Rivera; Linda M. Collins; Miguel A. Ridao; Eduardo F. Camacho (IEEE Trans. Control. Syst. Technol., 2011)

A dynamical systems model for improving gestational weight gain behavioral interventions. - Yuwen Dong; Daniel E. Rivera; Diana M. Thomas; Jesús Emeterio Navarro-Barrientos; Danielle S. Downs; Jennifer S. Savage; Linda M. Collins (ACC, 2012)

An interactive software tool for system identification. - José Luis Guzmán; Daniel E. Rivera; Sebastián Dormido 001; Manuel Berenguel (Adv. Eng. Softw., 2012)

A control engineering framework for managing whole hospital occupancy. - Kevin T. Roche; Daniel E. Rivera; Jeffery K. Cochran (Math. Comput. Model., 2012)

Optimal input signal design for data-centric estimation methods. - Sunil Deshpande; Daniel E. Rivera (ACC, 2013)

Hybrid model predictive control for optimizing gestational weight gain behavioral interventions. - Yuwen Dong; Daniel E. Rivera; Danielle S. Downs; Jennifer S. Savage; Diana M. Thomas; Linda M. Collins (ACC, 2013)

Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment. - P. Lopes dos Santos; Sunil Deshpande; Daniel E. Rivera; T.-P. Azevedo-Perdicoúlis; José A. Ramos; Jarred Younger (ACC, 2013)

Control systems engineering for understanding and optimizing smoking cessation interventions. - Kevin P. Timms; Daniel E. Rivera; Linda M. Collins; Megan E. Piper (ACC, 2013)

A data-centric system identification approach to input signal design for Hammerstein systems. - Sunil Deshpande; Daniel E. Rivera (CDC, 2013)

An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems. - Naresh N. Nandola; Daniel E. Rivera (IEEE Trans. Control. Syst. Technol., 2013)

Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions. - Yuwen Dong; Sunil Deshpande; Daniel E. Rivera; Danielle S. Downs; Jennifer S. Savage (ACC, 2014)

A dynamical systems model of Social Cognitive Theory. - Cesar A. Martin; Daniel E. Rivera; William T. Riley; Eric B. Hekler; Matthew P. Buman; Marc A. Adams; Abby C. King (ACC, 2014)

A Hybrid Model Predictive Control strategy for optimizing a smoking cessation intervention. - Kevin P. Timms; Daniel E. Rivera; Megan E. Piper; Linda M. Collins (ACC, 2014)

Data-centric input signal design for highly interactive dynamical systems. - Sunil Deshpande; Daniel E. Rivera (CDC, 2014)

Towards data-centric input signal design using sparse polynomial optimization. - Sunil Deshpande; Daniel E. Rivera (CDC, 2014)

LPV system identification using a separable least squares support vector machines approach. - Paulo J. Lopes dos Santos; T.-P. Azevedo-Perdicoúlis; José A. Ramos; Sunil Deshpande; Daniel E. Rivera; Jorge Leite Martins de Carvalho (CDC, 2014)

The importance of behavior theory in control system modeling of physical activity sensor data. - William T. Riley; Cesar A. Martin; Daniel E. Rivera (EMBC, 2014)

Leveraging intensive longitudinal data to better understand health behaviors. - Kevin P. Timms; Cesar A. Martin; Daniel E. Rivera; Eric B. Hekler; William T. Riley (EMBC, 2014)

A control-relevant approach to demand modeling for supply chain management. - Jay D. Schwartz; Daniel E. Rivera (Comput. Chem. Eng., 2014)

Continuous-time system identification of a smoking cessation intervention. - Kevin P. Timms; Daniel E. Rivera; Linda M. Collins; Megan E. Piper (Int. J. Control, 2014)

Constrained Optimal Input Signal Design for Data-Centric Estimation Methods. - Sunil Deshpande; Daniel E. Rivera (IEEE Trans. Autom. Control., 2014)

Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems. - Diego Regruto; Fabrizio Dabbene; Daniel E. Rivera (IEEE Trans. Autom. Control., 2014)

A system identification approach for improving behavioral interventions based on Social Cognitive Theory. - Cesar A. Martin; Sunil Deshpande; Eric B. Hekler; Daniel E. Rivera (ACC, 2015)

An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation. - Cesar A. Martin; Daniel E. Rivera; Eric B. Hekler (CDC, 2015)

Semi-physical identification and state estimation of energy intake for interventions to manage gestational weight gain. - Penghong Guo; Daniel E. Rivera; Danielle S. Downs; Jennifer S. Savage (ACC, 2016)

A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control. - Cesar A. Martin; Daniel E. Rivera; Eric B. Hekler (ACC, 2016)

An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates. - Cesar A. Martin; Daniel E. Rivera; Eric B. Hekler (CDC, 2016)

Formalization of Computational Human Behavior Models for Contextual Persuasive Technology. - Tylar Murray; Eric B. Hekler; Donna Spruijt-Metz; Daniel E. Rivera; Andrew Raij (PERSUASIVE, 2016)

Modeling Opportunities in mHealth Cyber-Physical Systems. - Wendy Nilsen; Emre Ertin; Eric B. Hekler; Santosh Kumar 001; Insup Lee 001; Rahul Mangharam; Misha Pavel; James M. Rehg; William T. Riley; Daniel E. Rivera; Donna Spruijt-Metz (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

Control Systems Engineering for Optimizing Behavioral mHealth Interventions. - Daniel E. Rivera; César A. Martín; Kevin P. Timms; Sunil Deshpande; Naresh N. Nandola; Eric B. Hekler (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity. - Mohammad T. Freigoun; Cesar A. Martin; Alicia B. Magann; Daniel E. Rivera; Sayali S. Phatak; Elizabeth V. Korinek; Eric B. Hekler (ACC, 2017)

LPV system identification using the matchable observable linear identification approach. - P. Lopes dos Santos; R. Romano; T.-P. Azevedo-Perdicoúlis; Daniel E. Rivera; José A. Ramos (CDC, 2017)

Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention. - 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 (J. Biomed. Informatics, 2018)

System Identification Approaches for Energy Intake Estimation: Enhancing Interventions for Managing Gestational Weight Gain. - Penghong Guo; Daniel E. Rivera; Jennifer S. Savage; Emily E. Hohman; Abigail M. Pauley; Krista S. Leonard; Danielle S. Downs (IEEE Trans. Control. Syst. Technol., 2020)

Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions. - César A. Martín; Daniel E. Rivera; Eric B. Hekler; William T. Riley; Matthew P. Buman; Marc A. Adams; Alicia B. Magann (IEEE Trans. Control. Syst. Technol., 2020)

Foreword Identification and Control in Biomedical Applications. - Guillaume Mercère; Alexander Medvedev; Daniel E. Rivera; Caterina M. Scoglio; Bayu Jayawardhana (IEEE Trans. Control. Syst. Technol., 2020)

System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations. - Paulo J. Lopes dos Santos; Mohammad T. Freigoun; César A. Martín; Daniel E. Rivera; Eric B. Hekler; Rodrigo Alvite Romano; Teresa Paula Azevedo Perdicoúlis (IEEE Trans. Control. Syst. Technol., 2020)

Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation. - Rachael T. Kha; Daniel E. Rivera; Predrag V. Klasnja; Eric B. Hekler (ACC, 2022)

Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States. - Mohamed El Mistiri; Daniel E. Rivera; Predrag V. Klasnja; Junghwan Park; Eric B. Hekler (ACC, 2022)

Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity. - Mohamed El Mistiri; Daniel E. Rivera; Predrag V. Klasnja; Junghwan Park; Eric B. Hekler (ACC, 2022)

A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity. - Owais Khan; Mohamed El Mistiri; Daniel E. Rivera; Cesar A. Martin; Eric B. Hekler (CDC, 2022)

BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data. - 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 (CHASE, 2022)

Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. - Penghong Guo; Daniel E. Rivera; Yuwen Dong; Sunil Deshpande; Jennifer S. Savage; Emily E. Hohman; Abigail M. Pauley; Krista S. Leonard; Danielle Symons Downs (Comput. Chem. Eng., 2022)

BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data. - 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 (CoRR, 2022)

Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation. - Rachael T. Kha; Daniel E. Rivera; Predrag V. Klasnja; Eric B. Hekler (ACC, 2023)

System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity. - Mohamed El Mistiri; Owais Khan; Daniel E. Rivera; Eric B. Hekler (ACC, 2023)

Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. - Steven De La Torre; Mohamed El Mistiri; Eric B. Hekler; Predrag Klasnja; Benjamin M. Marlin; Misha Pavel; Donna Spruijt-Metz; Daniel E. Rivera (J. Biomed. Informatics, 2024)

A Data-Driven Hybrid Model Predictive Control Framework for Managing Epidemics Using 3DoF-KF HMPC. - Sarasij Banerjee; Mohamed El Mistiri; Owais Khan; Daniel E. Rivera (ACC, 2025)

An Optimized Behavioral Intervention for Managing Gestational Weight Gain Using Semi-Physical Modeling and Hybrid Model Predictive Control. - Owais Khan; Francesco Campregher; Daniel E. Rivera; Antonio Visioli; Abigail M. Pauley; Danielle Symons Downs (ACC, 2025)

YourMove: A System Identification and Hybrid Model Predictive Control Personalized mHealth Intervention for Physical Activity. - Mohamed El Mistiri; Junghwan Park; Owais Khan; Sarasij Banerjee; Eric B. Hekler; Daniel E. Rivera (ACC, 2025)