Eduardo Camponogara
Orcid: 0000-0002-0236-0689
According to our database1,
Eduardo Camponogara
authored at least 111 papers
between 2000 and 2024.
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Bibliography
2024
Optimal Tasks and Heater Scheduling Applied to the Management of CubeSats Battery Lifespan.
IEEE Embed. Syst. Lett., June, 2024
IEEE Trans. Artif. Intell., March, 2024
Neural networks informed by physics for modeling mass flow rate in a production wellbore.
Eng. Appl. Artif. Intell., 2024
CoRR, 2024
CoRR, 2024
Benders decomposition for the energy aware task scheduling of constellations of nanosatellites.
Comput. Oper. Res., 2024
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells.
Appl. Soft Comput., 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Expert Syst. Appl., December, 2023
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
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
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
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
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
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
IEEE Trans. Intell. Transp. Syst., 2020
J. Intell. Fuzzy Syst., 2020
Int. J. Math. Model. Numer. Optimisation, 2020
Introducing approximate well dynamics into production optimization for operations scheduling.
Comput. Chem. Eng., 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
Eng. Appl. Artif. Intell., 2019
Mixed-integer bilinear and piecewise-linear models for designing switching strategies of multilevel power converters.
Comput. Electr. Eng., 2019
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
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
IEEE Trans. Autom. Control., 2016
Optimising QoS in adaptive real-time systems with energy constraint varying CPU frequency.
Int. J. Embed. Syst., 2016
Proceedings of the 2016 IEEE Conference on Control Applications, 2016
2015
J. Intell. Transp. Syst., 2015
Eur. J. Oper. Res., 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 Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency.
Proceedings of the III Brazilian Symposium on Computing Systems Engineering, 2013
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
IEEE Trans. Autom. Control., 2012
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
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
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
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
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
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
Proceedings of the 15th IEEE Real-Time and Embedded Technology and Applications Symposium, 2009
2008
Proceedings of the 20th Euromicro Conference on Real-Time Systems, 2008
Proceedings of the 2008 IEEE International Conference on Automation Science and Engineering, 2008
2007
IEEE Trans. Syst. Man Cybern. Part A, 2007
Proceedings of the IEEE International Conference on Systems, 2007
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007
2006
IEEE Trans. Syst. Man Cybern. Part A, 2006
Eur. J. Oper. Res., 2006
2005
INFORMS J. Comput., 2005
Proceedings of the Quality of Service - IWQoS 2005: 13th International Workshop, 2005
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
Eur. J. Oper. Res., 2004
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
Proceedings of the Progress in Artificial Intelligence, 2003
2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001
2000
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000