Collaborative Nets. - Sarosh Talukdar; Eduardo Camponogara (HICSS, 2000)

Network Control as a Distributed, Dynamic Game. - Sarosh Talukdar; Eduardo Camponogara (HICSS, 2001)

Altruistic Agents in Dynamic Games. - Eduardo Camponogara (SBIA, 2002)

Distributed Learning Agents in Urban Traffic Control. - Eduardo Camponogara; Werner Kraus Jr. (EPIA, 2003)

Implementing Traffic Engineering in MPLS-Based IP Networks with Lagrangean Relaxation. - Roberto Alexandre Dias; Eduardo Camponogara; Jean-Marie Farines; Roberto Willrich; Adriano Campestrini (ISCC, 2003)

On the Convergence to and Location of Attractors of Uncertain, Dynamic Games. - Eduardo Camponogara (SBIA, 2004)

Designing communication networks for distributed control agents. - Eduardo Camponogara; Sarosh Talukdar (Eur. J. Oper. Res., 2004)

Gas-Lift Allocation under Precedence Constraints: Piecewise-Linear Formulation and K-Covers. - Eduardo Camponogara; Augusto M. de Conto (CDC/ECC, 2005)

Seeking Multiobjective Optimization in Uncertain, Dynamic Games. - Eduardo Camponogara; Haoyu Zhou (EPIA, 2005)

Supporting Differentiated QoS in MPLS Networks. - Roberto Alexandre Dias; Eduardo Camponogara; Jean-Marie Farines (IWQoS, 2005)

Designing Communication Networks to Decompose Network Control Problems. - Eduardo Camponogara; Sarosh Talukdar (INFORMS J. Comput., 2005)

Solving a gas-lift optimization problem by dynamic programming. - Eduardo Camponogara; Paulo H. R. Nakashima (Eur. J. Oper. Res., 2006)

Optimization of Lift-Gas Allocation Using Dynamic Programming. - Paulo H. R. Nakashima; Eduardo Camponogara (IEEE Trans. Syst. Man Cybern. Part A, 2006)

Compressor Scheduling in Oil Fields: A Piecewise-Linear Formulation. - Eduardo Camponogara; Melissa Pereira de Castro; Agustinho Plucenio (CASE, 2007)

Lift-gas allocation under precedence constraints: 1-configuration inequalities. - Eduardo Camponogara; Agustinho Plucenio (SMC, 2007)

Distributed Model Predictive Control: Synchronous and Asynchronous Computation. - Eduardo Camponogara; S. N. Talukdar (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Column generation for solving a compressor scheduling problem. - Eduardo Camponogara; Agustinho Plucenio (CASE, 2008)

Dynamic Reconfiguration for Adaptive Multiversion Real-Time Systems. - George Lima 001; Eduardo Camponogara; Ana Carolina Sokolonski (ECRTS, 2008)

Dynamic Reconfiguration in Reservation-Based Scheduling: An Optimization Approach. - Augusto Born de Oliveira; Eduardo Camponogara; George Lima 001 (IEEE Real-Time and Embedded Technology and Applications Symposium, 2009)

Distributed Optimization for Predictive Control with Input and State Constraints: Preliminary Theory and Application to Urban Traffic Control. - Eduardo Camponogara; Helton Fernando Scherer; Leonardo Vila Moura (SMC, 2009)

Lift-Gas Allocation Under Precedence Constraints: MILP Formulation and Computational Analysis. - Eduardo Camponogara; Augusto M. de Conto (IEEE Trans Autom. Sci. Eng., 2009)

Distributed Optimization for Model Predictive Control of Linear-Dynamic Networks. - Eduardo Camponogara; Lucas Barcelos de Oliveira (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Distributed model predictive control applied to urban traffic networks: Implementation, experimentation, and analysis. - Felipe Augusto de Souza; Vinícius B. Peccin; Eduardo Camponogara (CASE, 2010)

Cost Effective Real-Time Traffic Signal Control Using the TUC Strategy. - Werner Kraus Jr.; Felipe Augusto de Souza; Rodrigo Castelan Carlson; Markos Papageorgiou; Luciano Dionisio Dantas; Eduardo Camponogara; Elias B. Kosmatopoulos; Konstantinos Aboudolas (IEEE Intell. Transp. Syst. Mag., 2010)

Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach. - Eduardo Camponogara; Ricardo Boveto Shima (J. Univers. Comput. Sci., 2010)

Optimization-Based Dynamic Reconfiguration of Real-Time Schedulers with Support for Stochastic Processor Consumption. - Eduardo Camponogara; Augusto Born de Oliveira; George Lima 001 (IEEE Trans. Ind. Informatics, 2010)

A framework for adaptive tuning of distributed model predictive controllers by Lagrange multipliers. - Marcelo Lopes de Lima; Eduardo Camponogara (ISIC, 2011)

Transfer function modeling of linear dynamic networks for distributed MPC. - Helton Fernando Scherer; Eduardo Camponogara; Andrés Codas (CASE, 2011)

A Model for Reconfiguration of Multi-Modal Real-Time Systems under Energy Constraints. - Ríad Nassiffe; Eduardo Camponogara; George Lima 001 (SBESC, 2011)

Self-Configuration and Self-Optimization Process in Heterogeneous Wireless Networks. - Lucas Guardalben; Luis Javier García-Villalba; Fábio Buiati; João Bosco Mangueira Sobral; Eduardo Camponogara (Sensors, 2011)

Distributed Optimization for Model Predictive Control of Linear Dynamic Networks With Control-Input and Output Constraints. - Eduardo Camponogara; Helton Fernando Scherer (IEEE Trans Autom. Sci. Eng., 2011)

Iterative Quadratic Optimization for the Bus Holding Control Problem. - Luiz Alberto Koehler; Werner Kraus Jr.; Eduardo Camponogara (IEEE Trans. Intell. Transp. Syst., 2011)

Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field. - Andrés Codas; Sthener Campos; Eduardo Camponogara; Vidar Gunnerud; Snjezana Sunjerga (Comput. Chem. Eng., 2012)

Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing. - Andrés Codas; Eduardo Camponogara (Eur. J. Oper. Res., 2012)

Optimizing quality of service in real-time systems under energy constraints. - Ríad Nassiffe; Eduardo Camponogara; George Lima 001 (ACM SIGOPS Oper. Syst. Rev., 2012)

Distributed Optimization for MPC of Linear Networks With Uncertain Dynamics. - Eduardo Camponogara; Marcelo Lopes de Lima (IEEE Trans. Autom. Control., 2012)

A computational analysis of nondifferentiable optimization: Applications to production maximization in gas-lifted oil fields. - Caio Merlini Giuliani; Eduardo Camponogara; Agustinho Plucenio (CASE, 2013)

A mixed-integer linear programming model for automatic routing decisions in oil production optimization. - Thiago Lima Silva; Eduardo Camponogara; Alex Furtado Teixeira; Snjezana Sunjerga (CASE, 2013)

Distributed model predictive control for energy distribution. - Helton Fernando Scherer; Manuel Pasamontes; José Domingo Álvarez; José Luis Guzmán; Eduardo Camponogara; Julio E. Normey-Rico (ECC, 2013)

Optimizing QoS in Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency. - Eduardo Camponogara; George Lima 001; Daniel Mossé; Ríad Nassiffe (SBESC, 2013)

Optimizing QoS in energy-aware real-time systems. - Ríad Nassiffe; Eduardo Camponogara; George Lima 001 (SIGBED Rev., 2013)

A Model Considering QoS for Real-Time Systems with Energy and Temperature Constraints. - Daniel Mossé; Eduardo Camponogara; George Lima 001 (SBESC, 2014)

A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization. - Thiago Lima Silva; Eduardo Camponogara (Eur. J. Oper. Res., 2014)

Derivative-free optimization with use of problem structure: Applications to oil production. - Caio Merlini Giuliani; Eduardo Camponogara (CASE, 2015)

A piecewise linear-quadratic approximation for production optimization of gas-lifted oil fields. - Lauvir Ramos Neto; Eduardo Camponogara; Rubens Hardt; Thiago Lima Silva (CASE, 2015)

An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well. - Eric Aislan Antonelo; Eduardo Camponogara (EANN, 2015)

Derivative-free methods applied to daily production optimization of gas-lifted oil fields. - Caio Merlini Giuliani; Eduardo Camponogara (Comput. Chem. Eng., 2015)

Reception, mixture, and transfer in a crude oil terminal. - Bernardo Zimberg; Eduardo Camponogara; Enrique D. Ferreira 001 (Comput. Chem. Eng., 2015)

Scheduling pumpoff operations in onshore oilfields under electric-power constraints. - Eduardo Camponogara; Mateus Dubiela Oliveira; Marco Aurélio Schmitz de Aguiar (Eur. J. Oper. Res., 2015)

Special Issue on Intelligent Agents in Traffic and Transportation. - Matteo Vasirani; Franziska Klügl; Eduardo Camponogara; Hiromitsu Hattori (J. Intell. Transp. Syst., 2015)

Distributed Satisficing MPC. - Marcelo Lopes de Lima; Eduardo Camponogara; Daniel Limón Marruedo; David Muñoz de la Peña (IEEE Trans. Control. Syst. Technol., 2015)

An augmented Lagrangian method for optimal control of continuous time DAE systems. - Marco Aurélio Schmitz de Aguiar; Eduardo Camponogara; Bjarne Foss (CCA, 2016)

Optimising QoS in adaptive real-time systems with energy constraint varying CPU frequency. - Ríad Nassiffe; Eduardo Camponogara; George Lima 001; Daniel Mossé (Int. J. Embed. Syst., 2016)

Distributed Satisficing MPC With Guarantee of Stability. - Marcelo Lopes de Lima; Daniel Limón; David Muñoz de la Peña; Eduardo Camponogara (IEEE Trans. Autom. Control., 2016)

A distributed dual algorithm for distributed MPC with application to urban traffic control. - Eduardo Camponogara; Ricardo Santos da Silva; Marco Aurélio Schmitz de Aguiar (CCTA, 2017)

A piecewise McCormick relaxation-based strategy for scheduling operations in a crude oil terminal. - Leonardo Salsano de Assis; Eduardo Camponogara; Bernardo Zimberg; Enrique D. Ferreira 001; Ignacio E. Grossmann (Comput. Chem. Eng., 2017)

Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. - Eric A. Antonelo; Eduardo Camponogara; Bjarne Foss (Neural Networks, 2017)

Integrated Methodology for Production Optimization from Multiple Offshore Reservoirs in the Santos Basin. - Eduardo Camponogara; Alex Furtado Teixeira; Eduardo Otte Hulse; Thiago Lima Silva; Snjezana Sunjerga; Luis Kin Miyatake (IEEE Trans Autom. Sci. Eng., 2017)

A Branch-and-Price algorithm for a compressor scheduling problem. - Marcelo Wuttig Friske; Luciana S. Buriol; Eduardo Camponogara (Comput. Ind. Eng., 2018)

Design optimization of oilfield subsea infrastructures with manifold placement and pipeline layout. - Vinícius Ramos Rosa; Eduardo Camponogara; Virgílio José Martins Ferreira Filho (Comput. Chem. Eng., 2018)

Scheduling pumpoff operations in onshore oilfields with electric-power constraints and variable cycle time. - Eduardo Camponogara; Luiz Alberto Guardini; Leonardo Salsano de Assis (Comput. Oper. Res., 2018)

An MINLP formulation for integrating the operational management of crude oil supply. - Leonardo Salsano de Assis; Eduardo Camponogara; Brenno C. Menezes; Ignacio E. Grossmann (Comput. Chem. Eng., 2019)

Mixed-integer bilinear and piecewise-linear models for designing switching strategies of multilevel power converters. - Eduardo Camponogara; Laio Oriel Seman; Luiz Carlos Gili (Comput. Electr. Eng., 2019)

Online learning control with Echo State Networks of an oil production platform. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (Eng. Appl. Artif. Intell., 2019)

Real-Time Integrated Holding and Priority Control Strategy for Transit Systems. - Luiz Alberto Koehler; Laio Oriel Seman; Werner Kraus Jr.; Eduardo Camponogara (IEEE Trans. Intell. Transp. Syst., 2019)

Introducing approximate well dynamics into production optimization for operations scheduling. - Eduardo Otte Hulse; Thiago Lima Silva; Eduardo Camponogara; Vinícius Ramos Rosa; Bruno Ferreira Vieira; Alex Furtado Teixeira (Comput. Chem. Eng., 2020)

MINLP models for dimensional synthesis of planar four-bar linkages. - Andrea Piga Carboni; Laio Oriel Seman; Eduardo Camponogara (Int. J. Math. Model. Numer. Optimisation, 2020)

A framework to estimate dwell time of BRT systems using fuzzy regression. - Laio Oriel Seman; Victor Hugo Rodrigues Machado; Luiz Alberto Koehler; Eduardo Camponogara (J. Intell. Fuzzy Syst., 2020)

Headway Control in Bus Transit Corridors Served by Multiple Lines. - Laio Oriel Seman; Luiz Alberto Koehler; Eduardo Camponogara; Lucas Zimmermann; Werner Kraus Jr. (IEEE Trans. Intell. Transp. Syst., 2020)

Embedding Forecasting Models in Predictive Control to Minimize Flood Effects in a Real-World Hydrographic System. - Luis Fernando Nazari; Eduardo Camponogara (CASE, 2021)

Multiparametric Disaggregation Relaxation of Bilinear Terms for the Operational Management of Crude Oil Supply. - Leandro Pohlmann Rocha; Eduardo Camponogara; Laio Oriel Seman (CASE, 2021)

A MILP-based clustering strategy for integrating the operational management of crude oil supply. - Leonardo Salsano de Assis; Eduardo Camponogara; Ignacio E. Grossmann (Comput. Chem. Eng., 2021)

Tuning of oil well models with production data reconciliation. - Laio Oriel Seman; Caio Merlini Giuliani; Eduardo Camponogara; Eduardo Rauh Müller; Bruno Ferreira Vieira; Luis Kin Miyatake; André Gonçalves Medeiros (Comput. Chem. Eng., 2021)

Physics-Informed Neural Nets-based Control. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Eduardo Rehbein de Souza; Jean Panaioti Jordanou; Jomi F. Hübner (CoRR, 2021)

A nanosatellite task scheduling framework to improve mission value using fuzzy constraints. - Cezar Antônio Rigo; Laio Oriel Seman; Eduardo Camponogara; Edemar Morsch Filho; Eduardo Augusto Bezerra (Expert Syst. Appl., 2021)

Output feedback design for discrete-time constrained systems subject to persistent disturbances via bilinear programming. - Stephanie Loi Brião; Eugênio B. Castelan; Eduardo Camponogara; Jackson G. Ernesto (J. Frankl. Inst., 2021)

An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties. - Marco Aurélio Aguiar; Eduardo Camponogara; Bjarne Foss (IEEE Trans. Autom. Control., 2021)

Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. - Jean Panaioti Jordanou; Iver Osnes; Sondre B. Hernes; Eduardo Camponogara; Eric Aislan Antonelo; Lars Imsland (Adv. Eng. Informatics, 2022)

A continuous-time formulation for optimal task scheduling and quality-of-service assurance in nanosatellites. - Eduardo Camponogara; Laio Oriel Seman; Cezar Antônio Rigo; Edemar Morsch Filho; Brenda Fernandes Ribeiro; Eduardo Augusto Bezerra (Comput. Oper. Res., 2022)

A relax-and-fix and fix-and-optimize algorithm for a Maritime Inventory Routing Problem. - Marcelo Wuttig Friske; Luciana S. Buriol; Eduardo Camponogara (Comput. Oper. Res., 2022)

A branch-and-price algorithm for nanosatellite task scheduling to improve mission quality-of-service. - Cezar Antônio Rigo; Laio Oriel Seman; Eduardo Camponogara; Edemar Morsch Filho; Eduardo Augusto Bezerra; Pedro Munari (Eur. J. Oper. Res., 2022)

An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites. - Laio Oriel Seman; Brenda Fernandes Ribeiro; Cezar Antônio Rigo; Edemar Morsch Filho; Eduardo Camponogara; Rodrigo Leonardi; Eduardo A. Bezerra (Sensors, 2022)

Generalized Auto-Sequencing Bus Headway Control Formulation. - Laio Oriel Seman; Luiz Alberto Koehler; Eduardo Camponogara; Lucas Zimmermann (IEEE Trans. Intell. Transp. Syst., 2022)

Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara (IEEE Trans. Neural Networks Learn. Syst., 2022)

A derivative-free exact penalty algorithm: basic ideas, convergence theory and computational studies. - Caio Merlini Giuliani; Eduardo Camponogara; Andrew R. Conn (Comput. Appl. Math., 2022)

Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances. - Ana Banderchuk; D. Coutinho; Eduardo Camponogara (CDC, 2023)

A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CoDIT, 2023)

Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network. - Carlos Luguesi; Eduardo Camponogara; Laio Oriel Seman; José Torreblanca González; Valderi Reis Quietinho Leithardt (IEEE Access, 2023)

Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms. - Eduardo Rauh Müller; Eduardo Camponogara; Laio Oriel Seman; Bruno Ferreira Vieira; Luis Kin Miyatake (IEEE Access, 2023)

Vertex-based reachability analysis for verifying ReLU deep neural networks. - João G. Zago; Eduardo Camponogara; Eric A. Antonelo (CoRR, 2023)

Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances. - Ana Banderchuk; Daniel Coutinho; Eduardo Camponogara (CoRR, 2023)

A Graph Neural Network Approach to Nanosatellite Task Scheduling: Insights into Learning Mixed-Integer Models. - Bruno Machado Pacheco; Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Eduardo Augusto Bezerra; Leandro dos Santos Coelho (CoRR, 2023)

Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches. - Bruno Machado Pacheco; Laio Oriel Seman; Eduardo Camponogara (CoRR, 2023)

Investigation of proper orthogonal decomposition for echo state networks. - Jean Panaioti Jordanou; Eric Aislan Antonelo; Eduardo Camponogara; Eduardo Gildin (Neurocomputing, 2023)

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model. - Andressa Borré; Laio Oriel Seman; Eduardo Camponogara; Stéfano Frizzo Stefenon; Viviana Cocco Mariani; Leandro dos Santos Coelho (Sensors, 2023)

Distributed primal outer approximation algorithm for sparse convex programming with separable structures. - Alireza Olama; Eduardo Camponogara; Paulo Renato da Costa Mendes (J. Glob. Optim., 2023)

Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling. - Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Eduardo Augusto Bezerra; Leandro dos Santos Coelho (Appl. Soft Comput., 2023)

A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline. - Bernardo Zimberg; Enrique D. Ferreira 001; Eduardo Camponogara (Comput. Chem. Eng., 2023)

Improving energy aware nanosatellite task scheduling by a branch-cut-and-price algorithm. - Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Pedro Munari; Eduardo Augusto Bezerra (Comput. Oper. Res., 2023)

Sparse convex optimization toolkit: a mixed-integer framework. - Alireza Olama; Eduardo Camponogara; Jan Kronqvist (Optim. Methods Softw., 2023)

MPPT aware task scheduling for nanosatellites using MIP-based ReLU proxy models. - Cezar Antônio Rigo; Laio Oriel Seman; Edemar Morsch Filho; Eduardo Camponogara; Eduardo Augusto Bezerra (Expert Syst. Appl., 2023)

Sparse Nonlinear Dynamic Identification of a Single-Phase Flow System. - Luis Kin Miyatake; Eduardo Camponogara; Laio Oriel Seman (CASE, 2024)

Distributed ℓ0 Sparse Aggregative Optimization. - Alireza Olama; Guido Carnevale; Giuseppe Notarstefano; Eduardo Camponogara (CASE, 2024)

Solving Differential Equations using Physics-Informed Deep Equilibrium Models. - Bruno Machado Pacheco; Eduardo Camponogara (CASE, 2024)

Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. - Jonas Ekeland Kittelsen; Eric Aislan Antonelo; Eduardo Camponogara; Lars Struen Imsland (Appl. Soft Comput., 2024)

Benders decomposition for the energy aware task scheduling of constellations of nanosatellites. - Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Eduardo Augusto Bezerra (Comput. Oper. Res., 2024)

A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning. - Alireza Olama; Andreas Lundell; Jan Kronqvist; Elham Ahmadi; Eduardo Camponogara (CoRR, 2024)

Neural networks informed by physics for modeling mass flow rate in a production wellbore. - Luis Fernando Nazari; Eduardo Camponogara; Lars Struen Imsland; Laio Oriel Seman (Eng. Appl. Artif. Intell., 2024)

Physics-informed neural nets for control of dynamical systems. - Eric Aislan Antonelo; Eduardo Camponogara; Laio Oriel Seman; Jean Panaioti Jordanou; Eduardo Rehbein de Souza; Jomi Fred Hübner (Neurocomputing, 2024)

Physics-Informed Neural Networks for Modeling Water Flows in a River Channel. - Luis Fernando Nazari; Eduardo Camponogara; Laio Oriel Seman (IEEE Trans. Artif. Intell., 2024)

Optimal Tasks and Heater Scheduling Applied to the Management of CubeSats Battery Lifespan. - Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Edemar Morsch Filho (IEEE Embed. Syst. Lett., 2024)

Physics-Informed Neural Networks for Control of single-phase flow systems governed by partial differential equations. - Luis Kin Miyatake; Eduardo Camponogara; Eric Aislan Antonelo; Alexey Pavlov 001 (Eng. Appl. Artif. Intell., 2025)

Nested branch-and-price for multi-mode nanosatellite task scheduling with interior-point regularization and GPU acceleration. - Laio Oriel Seman; Cezar Antônio Rigo; Eduardo Camponogara; Pedro Munari (Eur. J. Oper. Res., 2025)

Physics-informed Echo State Networks for modeling controllable dynamical systems. - Eric Mochiutti; Eric Aislan Antonelo; Eduardo Camponogara (Neurocomputing, 2025)

Identifying large-scale linear parameter varying systems with dynamic mode decomposition methods. - Jean Panaioti Jordanou; Eduardo Camponogara; Eduardo Gildin (J. Comput. Phys., 2025)