Eduardo Camponogara

Orcid: 0000-0002-0236-0689

According to our database1, Eduardo Camponogara authored at least 102 papers between 2000 and 2024.

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Bibliography

2024
Physics-Informed Neural Networks for Modeling Water Flows in a River Channel.
IEEE Trans. Artif. Intell., March, 2024

Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells.
CoRR, 2024

2023
MPPT aware task scheduling for nanosatellites using MIP-based ReLU proxy models.
Expert Syst. Appl., December, 2023

Sparse convex optimization toolkit: a mixed-integer framework.
Optim. Methods Softw., November, 2023

Improving energy aware nanosatellite task scheduling by a branch-cut-and-price algorithm.
Comput. Oper. Res., October, 2023

A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline.
Comput. Chem. Eng., October, 2023

Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling.
Appl. Soft Comput., September, 2023

Distributed primal outer approximation algorithm for sparse convex programming with separable structures.
J. Glob. Optim., July, 2023

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.
Sensors, 2023

Investigation of proper orthogonal decomposition for echo state networks.
Neurocomputing, 2023

Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches.
CoRR, 2023

A Graph Neural Network Approach to Nanosatellite Task Scheduling: Insights into Learning Mixed-Integer Models.
CoRR, 2023

Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances.
CoRR, 2023

Vertex-based reachability analysis for verifying ReLU deep neural networks.
CoRR, 2023

Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms.
IEEE Access, 2023

Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network.
IEEE Access, 2023

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization.
Proceedings of the 9th International Conference on Control, 2023

Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022

Generalized Auto-Sequencing Bus Headway Control Formulation.
IEEE Trans. Intell. Transp. Syst., 2022

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites.
Sensors, 2022

A branch-and-price algorithm for nanosatellite task scheduling to improve mission quality-of-service.
Eur. J. Oper. Res., 2022

A relax-and-fix and fix-and-optimize algorithm for a Maritime Inventory Routing Problem.
Comput. Oper. Res., 2022

A continuous-time formulation for optimal task scheduling and quality-of-service assurance in nanosatellites.
Comput. Oper. Res., 2022

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks.
Adv. Eng. Informatics, 2022

2021
An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties.
IEEE Trans. Autom. Control., 2021

Output feedback design for discrete-time constrained systems subject to persistent disturbances via bilinear programming.
J. Frankl. Inst., 2021

A nanosatellite task scheduling framework to improve mission value using fuzzy constraints.
Expert Syst. Appl., 2021

Physics-Informed Neural Nets-based Control.
CoRR, 2021

Tuning of oil well models with production data reconciliation.
Comput. Chem. Eng., 2021

A MILP-based clustering strategy for integrating the operational management of crude oil supply.
Comput. Chem. Eng., 2021

Multiparametric Disaggregation Relaxation of Bilinear Terms for the Operational Management of Crude Oil Supply.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Embedding Forecasting Models in Predictive Control to Minimize Flood Effects in a Real-World Hydrographic System.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020
Headway Control in Bus Transit Corridors Served by Multiple Lines.
IEEE Trans. Intell. Transp. Syst., 2020

A framework to estimate dwell time of BRT systems using fuzzy regression.
J. Intell. Fuzzy Syst., 2020

MINLP models for dimensional synthesis of planar four-bar linkages.
Int. J. Math. Model. Numer. Optimisation, 2020

Introducing approximate well dynamics into production optimization for operations scheduling.
Comput. Chem. Eng., 2020

2019
Real-Time Integrated Holding and Priority Control Strategy for Transit Systems.
IEEE Trans. Intell. Transp. Syst., 2019

Online learning control with Echo State Networks of an oil production platform.
Eng. Appl. Artif. Intell., 2019

Mixed-integer bilinear and piecewise-linear models for designing switching strategies of multilevel power converters.
Comput. Electr. Eng., 2019

An MINLP formulation for integrating the operational management of crude oil supply.
Comput. Chem. Eng., 2019

2018
Scheduling pumpoff operations in onshore oilfields with electric-power constraints and variable cycle time.
Comput. Oper. Res., 2018

Design optimization of oilfield subsea infrastructures with manifold placement and pipeline layout.
Comput. Chem. Eng., 2018

A Branch-and-Price algorithm for a compressor scheduling problem.
Comput. Ind. Eng., 2018

2017
Integrated Methodology for Production Optimization from Multiple Offshore Reservoirs in the Santos Basin.
IEEE Trans Autom. Sci. Eng., 2017

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells.
Neural Networks, 2017

A piecewise McCormick relaxation-based strategy for scheduling operations in a crude oil terminal.
Comput. Chem. Eng., 2017

A distributed dual algorithm for distributed MPC with application to urban traffic control.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016
Distributed Satisficing MPC With Guarantee of Stability.
IEEE Trans. Autom. Control., 2016

Optimising QoS in adaptive real-time systems with energy constraint varying CPU frequency.
Int. J. Embed. Syst., 2016

An augmented Lagrangian method for optimal control of continuous time DAE systems.
Proceedings of the 2016 IEEE Conference on Control Applications, 2016

2015
Distributed Satisficing MPC.
IEEE Trans. Control. Syst. Technol., 2015

Special Issue on Intelligent Agents in Traffic and Transportation.
J. Intell. Transp. Syst., 2015

Scheduling pumpoff operations in onshore oilfields under electric-power constraints.
Eur. J. Oper. Res., 2015

Reception, mixture, and transfer in a crude oil terminal.
Comput. Chem. Eng., 2015

Derivative-free methods applied to daily production optimization of gas-lifted oil fields.
Comput. Chem. Eng., 2015

An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well.
Proceedings of the Engineering Applications of Neural Networks, 2015

A piecewise linear-quadratic approximation for production optimization of gas-lifted oil fields.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

Derivative-free optimization with use of problem structure: Applications to oil production.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization.
Eur. J. Oper. Res., 2014

A Model Considering QoS for Real-Time Systems with Energy and Temperature Constraints.
Proceedings of the 2014 Brazilian Symposium on Computing Systems Engineering, 2014

2013
Optimizing QoS in energy-aware real-time systems.
SIGBED Rev., 2013

Optimizing QoS in Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency.
Proceedings of the III Brazilian Symposium on Computing Systems Engineering, 2013

Distributed model predictive control for energy distribution.
Proceedings of the 12th European Control Conference, 2013

A mixed-integer linear programming model for automatic routing decisions in oil production optimization.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

A computational analysis of nondifferentiable optimization: Applications to production maximization in gas-lifted oil fields.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Distributed Optimization for MPC of Linear Networks With Uncertain Dynamics.
IEEE Trans. Autom. Control., 2012

Optimizing quality of service in real-time systems under energy constraints.
ACM SIGOPS Oper. Syst. Rev., 2012

Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing.
Eur. J. Oper. Res., 2012

Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field.
Comput. Chem. Eng., 2012

2011
Iterative Quadratic Optimization for the Bus Holding Control Problem.
IEEE Trans. Intell. Transp. Syst., 2011

Distributed Optimization for Model Predictive Control of Linear Dynamic Networks With Control-Input and Output Constraints.
IEEE Trans Autom. Sci. Eng., 2011

Self-Configuration and Self-Optimization Process in Heterogeneous Wireless Networks.
Sensors, 2011

A Model for Reconfiguration of Multi-Modal Real-Time Systems under Energy Constraints.
Proceedings of the Brazilian Symposium on Computing System Engineering, 2011

Transfer function modeling of linear dynamic networks for distributed MPC.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2011

A framework for adaptive tuning of distributed model predictive controllers by Lagrange multipliers.
Proceedings of the 2011 IEEE International Symposium on Intelligent Control, 2011

2010
Optimization-Based Dynamic Reconfiguration of Real-Time Schedulers with Support for Stochastic Processor Consumption.
IEEE Trans. Ind. Informatics, 2010

Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach.
J. Univers. Comput. Sci., 2010

Cost Effective Real-Time Traffic Signal Control Using the TUC Strategy.
IEEE Intell. Transp. Syst. Mag., 2010

Distributed model predictive control applied to urban traffic networks: Implementation, experimentation, and analysis.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2010

2009
Distributed Optimization for Model Predictive Control of Linear-Dynamic Networks.
IEEE Trans. Syst. Man Cybern. Part A, 2009

Lift-Gas Allocation Under Precedence Constraints: MILP Formulation and Computational Analysis.
IEEE Trans Autom. Sci. Eng., 2009

Distributed Optimization for Predictive Control with Input and State Constraints: Preliminary Theory and Application to Urban Traffic Control.
Proceedings of the IEEE International Conference on Systems, 2009

Dynamic Reconfiguration in Reservation-Based Scheduling: An Optimization Approach.
Proceedings of the 15th IEEE Real-Time and Embedded Technology and Applications Symposium, 2009

2008
Dynamic Reconfiguration for Adaptive Multiversion Real-Time Systems.
Proceedings of the 20th Euromicro Conference on Real-Time Systems, 2008

Column generation for solving a compressor scheduling problem.
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008

2007
Distributed Model Predictive Control: Synchronous and Asynchronous Computation.
IEEE Trans. Syst. Man Cybern. Part A, 2007

Lift-gas allocation under precedence constraints: 1-configuration inequalities.
Proceedings of the IEEE International Conference on Systems, 2007

Compressor Scheduling in Oil Fields: A Piecewise-Linear Formulation.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007

2006
Optimization of Lift-Gas Allocation Using Dynamic Programming.
IEEE Trans. Syst. Man Cybern. Part A, 2006

Solving a gas-lift optimization problem by dynamic programming.
Eur. J. Oper. Res., 2006

2005
Designing Communication Networks to Decompose Network Control Problems.
INFORMS J. Comput., 2005

Supporting Differentiated QoS in MPLS Networks.
Proceedings of the Quality of Service - IWQoS 2005: 13th International Workshop, 2005

Seeking Multiobjective Optimization in Uncertain, Dynamic Games.
Proceedings of the Progress in Artificial Intelligence, 2005

Gas-Lift Allocation under Precedence Constraints: Piecewise-Linear Formulation and K-Covers.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Designing communication networks for distributed control agents.
Eur. J. Oper. Res., 2004

On the Convergence to and Location of Attractors of Uncertain, Dynamic Games.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

2003
Implementing Traffic Engineering in MPLS-Based IP Networks with Lagrangean Relaxation.
Proceedings of the Eighth IEEE Symposium on Computers and Communications (ISCC 2003), 30 June, 2003

Distributed Learning Agents in Urban Traffic Control.
Proceedings of the Progress in Artificial Intelligence, 2003

2002
Altruistic Agents in Dynamic Games.
Proceedings of the Advances in Artificial Intelligence, 2002

2001
Network Control as a Distributed, Dynamic Game.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000
Collaborative Nets.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000


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