Daniel E. Rivera
Orcid: 0000-0002-3141-0577Affiliations:
- Arizona State University, Control Systems Engineering Laboratory, Tempe, AZ, USA
According to our database1,
Daniel E. Rivera
authored at least 78 papers
between 1990 and 2023.
Collaborative distances:
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on scopus.com
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Bibliography
2023
System Identification and Hybrid Model Predictive Control in Personalized mHealth Interventions for Physical Activity.
Proceedings of the American Control Conference, 2023
Idiographic Dynamic Modeling for Behavioral Interventions with Mixed Data Partitioning and Discrete Simultaneous Perturbation Stochastic Approximation.
Proceedings of the American Control Conference, 2023
2022
BayesLDM: A Domain-Specific Language for Probabilistic Modeling of Longitudinal Data.
CoRR, 2022
Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control.
Comput. Chem. Eng., 2022
BayesLDM: A Domain-specific Modeling Language for Probabilistic Modeling of Longitudinal Data.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022
A Kalman filter-based Hybrid Model Predictive Control Algorithm for Mixed Logical Dynamical Systems: Application to Optimized Interventions for Physical Activity.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Model Predictive Control Strategies for Optimized mHealth Interventions for Physical Activity.
Proceedings of the American Control Conference, 2022
Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States.
Proceedings of the American Control Conference, 2022
Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation.
Proceedings of the American Control Conference, 2022
2020
System Identification of Just Walk: Using Matchable-Observable Linear Parametrizations.
IEEE Trans. Control. Syst. Technol., 2020
IEEE Trans. Control. Syst. Technol., 2020
Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.
IEEE Trans. Control. Syst. Technol., 2020
System Identification Approaches for Energy Intake Estimation: Enhancing Interventions for Managing Gestational Weight Gain.
IEEE Trans. Control. Syst. Technol., 2020
2018
Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention.
J. Biomed. Informatics, 2018
2017
LPV system identification using the matchable observable linear identification approach.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity.
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017
2016
Formalization of Computational Human Behavior Models for Contextual Persuasive Technology.
Proceedings of the Persuasive Technology - 11th International Conference, 2016
An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control.
Proceedings of the 2016 American Control Conference, 2016
Semi-physical identification and state estimation of energy intake for interventions to manage gestational weight gain.
Proceedings of the 2016 American Control Conference, 2016
2015
An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
A system identification approach for improving behavioral interventions based on Social Cognitive Theory.
Proceedings of the American Control Conference, 2015
2014
Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems.
IEEE Trans. Autom. Control., 2014
IEEE Trans. Autom. Control., 2014
Int. J. Control, 2014
Comput. Chem. Eng., 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
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, 2014
LPV system identification using a separable least squares support vector machines approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
A Hybrid Model Predictive Control strategy for optimizing a smoking cessation intervention.
Proceedings of the American Control Conference, 2014
Proceedings of the American Control Conference, 2014
Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions.
Proceedings of the American Control Conference, 2014
2013
An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems.
IEEE Trans. Control. Syst. Technol., 2013
A data-centric system identification approach to input signal design for Hammerstein systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Control systems engineering for understanding and optimizing smoking cessation interventions.
Proceedings of the American Control Conference, 2013
Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment.
Proceedings of the American Control Conference, 2013
Hybrid model predictive control for optimizing gestational weight gain behavioral interventions.
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
Math. Comput. Model., 2012
A dynamical systems model for improving gestational weight gain behavioral interventions.
Proceedings of the American Control Conference, 2012
2011
A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health.
IEEE Trans. Control. Syst. Technol., 2011
Plant-Friendly Signal Generation for System Identification Using a Modified Simultaneous Perturbation Stochastic Approximation (SPSA) Methodology.
IEEE Trans. Control. Syst. Technol., 2011
A control engineering approach for designing an optimized treatment plan for fibromyalgia.
Proceedings of the American Control Conference, 2011
2010
A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss.
Proceedings of the Advances in Social Computing, 2010
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Probabilistic uncertainty description for an ETFE estimated plant using a sequence of multi-sinusoidal signals.
Proceedings of the American Control Conference, 2010
A novel model predictive control formulation for hybrid systems with application to adaptive behavioral interventions.
Proceedings of the American Control Conference, 2010
2009
Inner and outer loop optimization in semiconductor manufacturing supply chain management.
Comput. Manag. Sci., 2009
Application of robustified Model Predictive Control to a production-inventory system.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Plant-friendly signal generation for system identification using a modified SPSA methodology.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Control-relevant estimation of demand models for closed-loop control of a production-inventory system.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management.
IEEE Trans. Control. Syst. Technol., 2008
Proceedings of the American Control Conference, 2008
2007
Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria.
Comput. Optim. Appl., 2007
Multi-Objective Control-Relevant Demand Modeling for Production and Inventory Control.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007
Optimization-based Design of Plant-Friendly Input Signals for Model-on-Demand Estimation and Model Predictive Control.
Proceedings of the American Control Conference, 2007
2006
Simulation-based optimization of process control policies for inventory management in supply chains.
Autom., 2006
Proceedings of the Winter Simulation Conference WSC 2006, 2006
Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation.
Proceedings of the American Control Conference, 2006
An integrated input signal design and control-relevant parameter estimation approach for highly interactive multivariate systems.
Proceedings of the American Control Conference, 2006
2005
Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
A novel model predictive control algorithm for supply chain management in semiconductor manufacturing.
Proceedings of the American Control Conference, 2005
Proceedings of the American Control Conference, 2005
Control-relevant curvefitting for plant-friendly multivariable system identification.
Proceedings of the American Control Conference, 2005
2004
A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty.
Proceedings of the 2004 American Control Conference, 2004
2003
A hierarchical approach to production control of reentrant semiconductor manufacturing lines.
IEEE Trans. Control. Syst. Technol., 2003
Application of Model Predictive Control to Robust Management of Multiechelon Demand Networks in Semiconductor Manufacturing.
Simul., 2003
A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks.
Annu. Rev. Control., 2003
Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains.
Proceedings of the American Control Conference, 2003
2001
A model predictive control approach for real-time optimization of reentrant manufacturing lines.
Comput. Ind., 2001
Proceedings of the American Control Conference, 2001
1990
Low-order SISO controller tuning methods for the H<sub>2</sub>, H<sub>∞</sub> and μ objective functions.
Autom., 1990