Daniel E. Rivera

发表

A Hybrid Model Predictive Control strategy for optimizing a smoking cessation intervention

Kevin P. Timms, Daniel E. Rivera, Megan E. Piper, 2014, 2014 American Control Conference.

Low-order SISO controller tuning methods for the H2, H∞ and μ objective functions

Manfred Morari, Daniel E. Rivera, M. Morari, 1990, Autom..

USING PLANT-FRIENDLY MULTISINE SIGNALS TO IDENTIFY A STRONGLY INTERACTIVE PROCESS High-Purity Distillation

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2007 .

Inner and outer loop optimization in semiconductor manufacturing supply chain management

Hans D. Mittelmann, Daniel E. Rivera, Wenlin Wang, 2009, Comput. Manag. Sci..

Semi-physical identification and state estimation of energy intake for interventions to manage gestational weight gain

Daniel E. Rivera, Penghong Guo, Danielle S. Downs, 2016, 2016 American Control Conference (ACC).

Leveraging intensive longitudinal data to better understand health behaviors

Kevin P. Timms, Daniel E. Rivera, Eric B. Hekler, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A Dynamical Systems Model for Understanding Behavioral Interventions for Weight Loss

Daniel E. Rivera, Linda M. Collins, Jesús Emeterio Navarro-Barrientos, 2010, SBP.

Data-centric input signal design for highly interactive dynamical systems

Daniel E. Rivera, Sunil Deshpande, 2014, 53rd IEEE Conference on Decision and Control.

Applications Of System Identification

Daniel E. Rivera, Spilios D. Fassois, Daniel E. Rivera, 2007 .

IEEE Control Systems Society Outreach Fund [Member Activities]

Daniel E. Rivera, 2019 .

Control systems engineering for understanding and optimizing smoking cessation interventions

Kevin P. Timms, Daniel E. Rivera, Megan E. Piper, 2013, 2013 American Control Conference.

Centralized model predictive control strategies for inventory management in semiconductor manufacturing supply chains

Karl G. Kempf, Daniel E. Rivera, Wenlin Wang, 2003, Proceedings of the 2003 American Control Conference, 2003..

An Improved Formulation of Hybrid Model Predictive Control With Application to Production-Inventory Systems

Daniel E. Rivera, Naresh N. Nandola, D. Rivera, 2013, IEEE Transactions on Control Systems Technology.

A model predictive control approach for real-time optimization of reentrant manufacturing lines

Daniel E. Rivera, Felipe D. Vargas-Villamil, D. Rivera, 2001, Comput. Ind..

Hybrid model predictive control for sequential decision policies in adaptive behavioral interventions

Daniel E. Rivera, Sunil Deshpande, Danielle S. Downs, 2014, 2014 American Control Conference.

Model predictive control strategies for supply chain management in semiconductor manufacturing

Karl G. Kempf, Daniel E. Rivera, Wenlin Wang, 2007 .

Optimal input signal design for data-centric estimation methods

Daniel E. Rivera, Sunil Deshpande, D. Rivera, 2013, 2013 American Control Conference.

Optimization-based design of plant-friendly multisine signals using geometric discrepancy criteria

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2007, Comput. Optim. Appl..

Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions

Daniel E. Rivera, Naresh N. Nandola, D. Rivera, 2010, 49th IEEE Conference on Decision and Control (CDC).

Continuous-time system identification of a smoking cessation intervention

Kevin P. Timms, Daniel E. Rivera, Megan E. Piper, 2014, Int. J. Control.

CONSTRAINED MULTISINE INPUTS FOR PLANT-FRIENDLY IDENTIFICATION OF CHEMICAL PROCESSES

Hans D. Mittelmann, Daniel E. Rivera, Martin W. Braun, 2002 .

The importance of behavior theory in control system modeling of physical activity sensor data

Daniel E. Rivera, Cesar A. Martin, William T. Riley, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Application of Model Predictive Control to Robust Management of Multiechelon Demand Networks in Semiconductor Manufacturing

Karl G. Kempf, Daniel E. Rivera, Martin W. Braun, 2003, Simul..

A dynamical systems model for improving gestational weight gain behavioral interventions

Diana M. Thomas, Daniel E. Rivera, Linda M. Collins, 2012, 2012 American Control Conference (ACC).

LPV system identification using the matchable observable linear identification approach

Daniel E. Rivera, José A. Ramos, Paulo J. Lopes dos Santos, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

A system identification approach to PDE modeling of a semiconductor manufacturing process

Daniel E. Rivera, Jay D. Schwartz, 2009 .

A MODEL PREDICTIVE CONTROL FRAMEWORK FOR ROBUST MANAGEMENT OF MULTI-PRODUCT, MULTI-ECHELON DEMAND NETWORKS

Karl G. Kempf, Daniel E. Rivera, Martin W. Braun, 2002 .

A process control approach to tactical inventory management in production-inventory systems

Daniel E. Rivera, Jay D. Schwartz, D. Rivera, 2010 .

An enhanced identification test monitoring procedure for MIMO systems relying on uncertainty estimates

Daniel E. Rivera, Eric B. Hekler, Cesar A. Martin, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

A data-centric system identification approach to input signal design for Hammerstein systems

Daniel E. Rivera, Sunil Deshpande, D. Rivera, 2013, 52nd IEEE Conference on Decision and Control.

Plant-friendly signal generation for system identification using a modified SPSA methodology

Daniel E. Rivera, Richard Steenis, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Constrained Optimal Input Signal Design for Data-Centric Estimation Methods

Daniel E. Rivera, Sunil Deshpande, D. Rivera, 2014, IEEE Transactions on Automatic Control.

A system identification approach for improving behavioral interventions based on Social Cognitive Theory

Daniel E. Rivera, Sunil Deshpande, Eric B. Hekler, 2015, 2015 American Control Conference (ACC).

Flexible Experimentation and Analysis for Hybrid DEVS and MPC Models

Hessam S. Sarjoughian, Karl G. Kempf, Daniel E. Rivera, 2006, Proceedings of the 2006 Winter Simulation Conference.

A hierarchical approach to production control of reentrant semiconductor manufacturing lines

Karl G. Kempf, Daniel E. Rivera, F. D. Vargas-Villamil, 2003, IEEE Trans. Control. Syst. Technol..

ITTSAE: A Set of Interactive Software Tools for Time Series Analysis Education [Lecture Notes]

Daniel E. Rivera, Sebastian Dormido, Jose Manuel Diaz, 2016, IEEE Control Systems.

Foreword Identification and Control in Biomedical Applications

Alexander Medvedev, Daniel E. Rivera, Caterina M. Scoglio, 2020, IEEE Trans. Control. Syst. Technol..

A dynamical systems model of Social Cognitive Theory

Daniel E. Rivera, Matthew P. Buman, Eric B. Hekler, 2014, 2014 American Control Conference.

Model Predictive Control for Tactical Decision-Making in Semiconductor Manufacturing Supply Chain Management

Daniel E. Rivera, Wenlin Wang, D. Rivera, 2008, IEEE Transactions on Control Systems Technology.

Plant-Friendly Signal Generation for System Identification Using a Modified Simultaneous Perturbation Stochastic Approximation (SPSA) Methodology

Daniel E. Rivera, Richard Steenis, D. Rivera, 2011, IEEE Transactions on Control Systems Technology.

Towards data-centric input signal design using sparse polynomial optimization

Daniel E. Rivera, Sunil Deshpande, 2014, 53rd IEEE Conference on Decision and Control.

A Touch of Glass

Daniel E. Rivera, 2014 .

Constrained minimum crest factor multisine signals for "Plant-Friendly" identification of highly interactive systems

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2003 .

Proceedings of the IEEE Conference on Decision and Control

Daniel E. Rivera, Sunil Deshpande, 2015, CDC 2015.

Optimal Operation of Semiconductor Manufacturing Supply Chains under Uncertainty using Simulation-Based Optimization

Karl G. Kempf, Daniel E. Rivera, Ira A. Fulton, 2005 .

Identification of Chemical Process Systems Using Constrained Minimum Crest Factor Multisine Inputs

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2003 .

Modeling individual differences: A case study of the application of system identification for personalizing a physical activity intervention

Predrag V. Klasnja, Daniel E. Rivera, Matthew P. Buman, 2018, J. Biomed. Informatics.

Control-relevant estimation of demand models for closed-loop control of a production-inventory system

Daniel E. Rivera, Jay D. Schwartz, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

System identification of Just Walk: A behavioral mHealth intervention for promoting physical activity

Daniel E. Rivera, Eric B. Hekler, Sayali S. Phatak, 2017, 2017 American Control Conference (ACC).

Modeling Opportunities in mHealth Cyber-Physical Systems

James M. Rehg, Misha Pavel, Insup Lee, 2017, Mobile Health - Sensors, Analytic Methods, and Applications.

"Plant-Friendly" system identification: a challenge for the process industries

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2003 .

An identification test monitoring procedure for MIMO systems based on statistical uncertainty estimation

Daniel E. Rivera, Eric B. Hekler, Cesar A. Martin, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Simulation-based optimization of process control policies for inventory management in supply chains

Daniel E. Rivera, Wenlin Wang, Jay D. Schwartz, 2006, Autom..

Multi-Objective Control-Relevant Demand Modeling for Production and Inventory Control

Daniel E. Rivera, Jay D. Schwartz, D. Rivera, 2007, 2007 IEEE International Conference on Automation Science and Engineering.

A Model Predictive Control Approach for Managing Semiconductor Manufacturing Supply Chains under Uncertainty

Karl G. Kempf, Daniel E. Rivera, W. Chandler Blvd, 2003 .

An interactive software tool for system identification

José Luis Guzmán, Manuel Berenguel, Daniel E. Rivera, 2012, Adv. Eng. Softw..

Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hessam S. Sarjoughian, Hans D. Mittelmann, Karl G. Kempf, 2005, Proceedings of the Winter Simulation Conference, 2005..

Internal Model Control

Daniel E. Rivera, M. E. Flores, D. Rivera, 2010, Encyclopedia of Machine Learning.

System identification: A Wiener-Hammerstein benchmark

Daniel E. Rivera, Cristian R. Rojas, Håkan Hjalmarsson, 2012 .

Identification of affine linear parameter varying models for adaptive interventions in fibromyalgia treatment

Daniel E. Rivera, Paulo J. Lopes dos Santos, T.-P. Azevedo-Perdicoúlis, 2013, 2013 American Control Conference.

Process control education using inventory management in supply chains

Daniel E. Rivera, Jay D. Schwartz, 2006 .

A Model Predictive Control framework for robust management of multi-product, multi-echelon demand networks

Karl G. Kempf, Daniel E. Rivera, Martin W. Braun, 2003, Annu. Rev. Control..

LPV system identification using a separable least squares support vector machines approach

Daniel E. Rivera, José A. Ramos, Paulo J. Lopes dos Santos, 2014, 53rd IEEE Conference on Decision and Control.

Application of robustified Model Predictive Control to a production-inventory system

Manuel R. Arahal, Didier Dumur, Daniel E. Rivera, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Modeling for Control Design in Combined Feedback/Feedforward Control

Daniel E. Rivera, S. V. Gaikwad, 1992 .

A Risk-Based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health

Eduardo F. Camacho, Daniel E. Rivera, Linda M. Collins, 2011, IEEE Transactions on Control Systems Technology.

A control engineering framework for managing whole hospital occupancy

Daniel E. Rivera, Jeffery K. Cochran, Kevin T. Roche, 2012, Math. Comput. Model..

Formalization of Computational Human Behavior Models for Contextual Persuasive Technology

Andrew Raij, Daniel E. Rivera, Donna Spruijt-Metz, 2016, PERSUASIVE.

A control-relevant approach to demand modeling for supply chain management

Daniel E. Rivera, Jay D. Schwartz, D. Rivera, 2014, Comput. Chem. Eng..

Hybrid model predictive control for optimizing gestational weight gain behavioral interventions

Diana M. Thomas, Daniel E. Rivera, Linda M. Collins, 2013, 2013 American Control Conference.

Guest Editorial: Special Issue on Relaxation Methods in Identification and Estimation Problems

Fabrizio Dabbene, Daniel E. Rivera, Diego Regruto, 2014, IEEE Trans. Autom. Control..

A decision framework for an adaptive behavioral intervention for physical activity using hybrid model predictive control

Daniel E. Rivera, Eric B. Hekler, Cesar A. Martin, 2016, 2016 American Control Conference (ACC).

Constrained multisine input signals for plant-friendly identification of chemical process systems

Hyunjin Lee, Hans D. Mittelmann, Daniel E. Rivera, 2009 .

Hybrid model predictive control applied to production-inventory systems

Daniel E. Rivera, Naresh N. Nandola, Nareshkumar N. Nandola, 2011 .