default search action
Eduardo Camponogara
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j68]Jonas Ekeland Kittelsen, Eric Aislan Antonelo
, Eduardo Camponogara
Physics-Informed Neural Networks with skip connections for modeling and control of gas-lifted oil wells. Appl. Soft Comput. 158: 111603 (2024) - [j67]Laio Oriel Seman
Benders decomposition for the energy aware task scheduling of constellations of nanosatellites. Comput. Oper. Res. 166: 106618 (2024) - [j66]Luis Fernando Nazari
Neural networks informed by physics for modeling mass flow rate in a production wellbore. Eng. Appl. Artif. Intell. 128: 107528 (2024) - [j65]Laio Oriel Seman
Optimal Tasks and Heater Scheduling Applied to the Management of CubeSats Battery Lifespan. IEEE Embed. Syst. Lett. 16(2): 114-117 (2024) - [j64]Eric Aislan Antonelo
Physics-informed neural nets for control of dynamical systems. Neurocomputing 579: 127419 (2024) - [j63]Luis Fernando Nazari
Physics-Informed Neural Networks for Modeling Water Flows in a River Channel. IEEE Trans. Artif. Intell. 5(3): 1001-1015 (2024) - [c36]Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
Distributed ℓ0 Sparse Aggregative Optimization. CASE 2024: 1747-1752 - [c35]Bruno Machado Pacheco, Eduardo Camponogara:
Solving Differential Equations using Physics-Informed Deep Equilibrium Models. CASE 2024: 1883-1888 - [c34]Luis Kin Miyatake, Eduardo Camponogara, Laio Oriel Seman:
Sparse Nonlinear Dynamic Identification of a Single-Phase Flow System. CASE 2024: 2295-2300 - [i10]Jonas Ekeland Kittelsen, Eric Aislan Antonelo, Eduardo Camponogara, Lars Struen Imsland:
Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. CoRR abs/2403.02289 (2024) - [i9]Alireza Olama, Andreas Lundell, Jan Kronqvist, Elham Ahmadi, Eduardo Camponogara:
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning. CoRR abs/2405.16267 (2024) - [i8]Bruno Machado Pacheco, Eduardo Camponogara:
Solving Differential Equations using Physics-Informed Deep Equilibrium Models. CoRR abs/2406.03472 (2024) - [i7]Eric Mochiutti, Eric Aislan Antonelo, Eduardo Camponogara:
Physics-Informed Echo State Networks for Modeling Controllable Dynamical Systems. CoRR abs/2409.19140 (2024) - 2023
- [j62]Carlos Luguesi, Eduardo Camponogara
Derivative-Free Optimization With Proxy Models for Oil Production Platforms Sharing a Subsea Gas Network. IEEE Access 11: 8950-8967 (2023) - [j61]Eduardo Rauh Müller
Optimizing Operations Sequencing and Demulsifier Injection in Offshore Oil Production Platforms. IEEE Access 11: 33414-33427 (2023) - [j60]Laio Oriel Seman
Explainable column-generation-based genetic algorithm for knapsack-like energy aware nanosatellite task scheduling. Appl. Soft Comput. 144: 110475 (2023) - [j59]Bernardo Zimberg, Enrique D. Ferreira
A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline. Comput. Chem. Eng. 178: 108354 (2023) - [j58]Laio Oriel Seman
Improving energy aware nanosatellite task scheduling by a branch-cut-and-price algorithm. Comput. Oper. Res. 158: 106292 (2023) - [j57]Cezar Antônio Rigo, Laio Oriel Seman
MPPT aware task scheduling for nanosatellites using MIP-based ReLU proxy models. Expert Syst. Appl. 234: 121022 (2023) - [j56]Jean Panaioti Jordanou
Investigation of proper orthogonal decomposition for echo state networks. Neurocomputing 548: 126395 (2023) - [j55]Alireza Olama
Distributed primal outer approximation algorithm for sparse convex programming with separable structures. J. Glob. Optim. 86(3): 637-670 (2023) - [j54]Alireza Olama
Sparse convex optimization toolkit: a mixed-integer framework. Optim. Methods Softw. 38(6): 1269-1295 (2023) - [j53]Andressa Borré, Laio Oriel Seman
Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model. Sensors 23(9): 4512 (2023) - [c33]Ana Banderchuk, D. Coutinho, Eduardo Camponogara:
Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances. CDC 2023: 3347-3352 - [c32]Alireza Olama
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT 2023: 1-6 - [i6]João G. Zago, Eduardo Camponogara, Eric A. Antonelo:
Vertex-based reachability analysis for verifying ReLU deep neural networks. CoRR abs/2301.12001 (2023) - [i5]Ana Banderchuk, Daniel Coutinho, Eduardo Camponogara:
Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances. CoRR abs/2303.11890 (2023) - [i4]Bruno Machado Pacheco, Laio Oriel Seman, Cezar Antônio Rigo, Eduardo Camponogara, Eduardo Augusto Bezerra, Leandro dos Santos Coelho:
A Graph Neural Network Approach to Nanosatellite Task Scheduling: Insights into Learning Mixed-Integer Models. CoRR abs/2303.13773 (2023) - [i3]Bruno Machado Pacheco, Laio Oriel Seman, Eduardo Camponogara:
Deep-learning-based Early Fixing for Gas-lifted Oil Production Optimization: Supervised and Weakly-supervised Approaches. CoRR abs/2309.00197 (2023) - 2022
- [j52]Jean Panaioti Jordanou
Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks. Adv. Eng. Informatics 52: 101553 (2022) - [j51]Marcelo Wuttig Friske, Luciana S. Buriol, Eduardo Camponogara
A relax-and-fix and fix-and-optimize algorithm for a Maritime Inventory Routing Problem. Comput. Oper. Res. 137: 105520 (2022) - [j50]Eduardo Camponogara, Laio Oriel Seman
A continuous-time formulation for optimal task scheduling and quality-of-service assurance in nanosatellites. Comput. Oper. Res. 147: 105945 (2022) - [j49]Cezar Antônio Rigo
A branch-and-price algorithm for nanosatellite task scheduling to improve mission quality-of-service. Eur. J. Oper. Res. 303(1): 168-183 (2022) - [j48]Laio Oriel Seman
An Energy-Aware Task Scheduling for Quality-of-Service Assurance in Constellations of Nanosatellites. Sensors 22(10): 3715 (2022) - [j47]Laio Oriel Seman
Generalized Auto-Sequencing Bus Headway Control Formulation. IEEE Trans. Intell. Transp. Syst. 23(7): 6460-6472 (2022) - [j46]Jean Panaioti Jordanou
Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2615-2629 (2022) - [i2]Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara, Eduardo Gildin:
Investigation of Proper Orthogonal Decomposition for Echo State Networks. CoRR abs/2211.17179 (2022) - 2021
- [j45]Leonardo Salsano de Assis, Eduardo Camponogara
A MILP-based clustering strategy for integrating the operational management of crude oil supply. Comput. Chem. Eng. 145: 107161 (2021) - [j44]Laio Oriel Seman
Tuning of oil well models with production data reconciliation. Comput. Chem. Eng. 145: 107179 (2021) - [j43]Cezar Antônio Rigo, Laio Oriel Seman
A nanosatellite task scheduling framework to improve mission value using fuzzy constraints. Expert Syst. Appl. 175: 114784 (2021) - [j42]Stephanie Loi Briao
Output feedback design for discrete-time constrained systems subject to persistent disturbances via bilinear programming. J. Frankl. Inst. 358(18): 9741-9770 (2021) - [j41]Marco Aurélio Aguiar
An Augmented Lagrangian for Optimal Control of DAE Systems: Algorithm and Properties. IEEE Trans. Autom. Control. 66(1): 261-266 (2021) - [c31]Luis Fernando Nazari, Eduardo Camponogara:
Embedding Forecasting Models in Predictive Control to Minimize Flood Effects in a Real-World Hydrographic System. CASE 2021: 872-878 - [c30]Leandro Pohlmann Rocha, Eduardo Camponogara, Laio Oriel Seman
Multiparametric Disaggregation Relaxation of Bilinear Terms for the Operational Management of Crude Oil Supply. CASE 2021: 1015-1020 - [i1]Eric Aislan Antonelo, Eduardo Camponogara, Laio Oriel Seman, Eduardo Rehbein de Souza, Jean Panaioti Jordanou, Jomi F. Hübner:
Physics-Informed Neural Nets-based Control. CoRR abs/2104.02556 (2021) - 2020
- [j40]Eduardo Otte Hulse, Thiago Lima Silva
Introducing approximate well dynamics into production optimization for operations scheduling. Comput. Chem. Eng. 136: 106773 (2020) - [j39]Andrea Piga Carboni, Laio Oriel Seman, Eduardo Camponogara:
MINLP models for dimensional synthesis of planar four-bar linkages. Int. J. Math. Model. Numer. Optimisation 10(4): 399-423 (2020) - [j38]Laio Oriel Seman
A framework to estimate dwell time of BRT systems using fuzzy regression. J. Intell. Fuzzy Syst. 38(4): 5279-5293 (2020) - [j37]Laio Oriel Seman
Headway Control in Bus Transit Corridors Served by Multiple Lines. IEEE Trans. Intell. Transp. Syst. 21(11): 4680-4692 (2020)
2010 – 2019
- 2019
- [j36]Leonardo Salsano de Assis, Eduardo Camponogara
An MINLP formulation for integrating the operational management of crude oil supply. Comput. Chem. Eng. 123: 110-125 (2019) - [j35]Eduardo Camponogara
Mixed-integer bilinear and piecewise-linear models for designing switching strategies of multilevel power converters. Comput. Electr. Eng. 77: 88-108 (2019) - [j34]Jean Panaioti Jordanou
Online learning control with Echo State Networks of an oil production platform. Eng. Appl. Artif. Intell. 85: 214-228 (2019) - [j33]Luiz Alberto Koehler
Real-Time Integrated Holding and Priority Control Strategy for Transit Systems. IEEE Trans. Intell. Transp. Syst. 20(9): 3459-3469 (2019) - 2018
- [j32]Marcelo Wuttig Friske, Luciana S. Buriol, Eduardo Camponogara
A Branch-and-Price algorithm for a compressor scheduling problem. Comput. Ind. Eng. 116: 72-81 (2018) - [j31]Vinícius Ramos Rosa, Eduardo Camponogara
Design optimization of oilfield subsea infrastructures with manifold placement and pipeline layout. Comput. Chem. Eng. 108: 163-178 (2018) - [j30]Eduardo Camponogara
Scheduling pumpoff operations in onshore oilfields with electric-power constraints and variable cycle time. Comput. Oper. Res. 91: 247-257 (2018) - 2017
- [j29]Leonardo Salsano de Assis, Eduardo Camponogara
A piecewise McCormick relaxation-based strategy for scheduling operations in a crude oil terminal. Comput. Chem. Eng. 106: 309-321 (2017) - [j28]Eric A. Antonelo, Eduardo Camponogara
Echo State Networks for data-driven downhole pressure estimation in gas-lift oil wells. Neural Networks 85: 106-117 (2017) - [j27]Eduardo Camponogara
Integrated Methodology for Production Optimization from Multiple Offshore Reservoirs in the Santos Basin. IEEE Trans Autom. Sci. Eng. 14(2): 669-680 (2017) - [c29]Eduardo Camponogara
A distributed dual algorithm for distributed MPC with application to urban traffic control. CCTA 2017: 1704-1709 - 2016
- [j26]Ríad Nassiffe, Eduardo Camponogara, George Lima, Daniel Mossé:
Optimising QoS in adaptive real-time systems with energy constraint varying CPU frequency. Int. J. Embed. Syst. 8(5/6): 368-379 (2016) - [j25]Marcelo Lopes de Lima, Daniel Limón, David Muñoz de la Peña
Distributed Satisficing MPC With Guarantee of Stability. IEEE Trans. Autom. Control. 61(2): 532-537 (2016) - [c28]Marco Aurélio Schmitz de Aguiar, Eduardo Camponogara, Bjarne Foss:
An augmented Lagrangian method for optimal control of continuous time DAE systems. CCA 2016: 1185-1190 - 2015
- [j24]Caio Merlini Giuliani
Derivative-free methods applied to daily production optimization of gas-lifted oil fields. Comput. Chem. Eng. 75: 60-64 (2015) - [j23]Bernardo Zimberg, Eduardo Camponogara
Reception, mixture, and transfer in a crude oil terminal. Comput. Chem. Eng. 82: 293-302 (2015) - [j22]Eduardo Camponogara
Scheduling pumpoff operations in onshore oilfields under electric-power constraints. Eur. J. Oper. Res. 247(3): 945-956 (2015) - [j21]Matteo Vasirani, Franziska Klügl
Special Issue on Intelligent Agents in Traffic and Transportation. J. Intell. Transp. Syst. 19(1): 1-2 (2015) - [j20]Marcelo Lopes de Lima, Eduardo Camponogara
Distributed Satisficing MPC. IEEE Trans. Control. Syst. Technol. 23(1): 305-312 (2015) - [c27]Caio Merlini Giuliani
Derivative-free optimization with use of problem structure: Applications to oil production. CASE 2015: 764-768 - [c26]Lauvir Ramos Neto, Eduardo Camponogara
A piecewise linear-quadratic approximation for production optimization of gas-lifted oil fields. CASE 2015: 793-798 - [c25]Eric Aislan Antonelo, Eduardo Camponogara
An Echo State Network-Based Soft Sensor of Downhole Pressure for a Gas-Lift Oil Well. EANN 2015: 379-389 - 2014
- [j19]Thiago Lima Silva
A computational analysis of multidimensional piecewise-linear models with applications to oil production optimization. Eur. J. Oper. Res. 232(3): 630-642 (2014) - [c24]Daniel Mossé, Eduardo Camponogara
A Model Considering QoS for Real-Time Systems with Energy and Temperature Constraints. SBESC 2014: 115-120 - 2013
- [j18]Ríad Nassiffe, Eduardo Camponogara, George Lima
Optimizing QoS in energy-aware real-time systems. SIGBED Rev. 10(2): 25 (2013) - [c23]Thiago Lima Silva
A mixed-integer linear programming model for automatic routing decisions in oil production optimization. CASE 2013: 280-285 - [c22]Caio Merlini Giuliani
A computational analysis of nondifferentiable optimization: Applications to production maximization in gas-lifted oil fields. CASE 2013: 286-291 - [c21]Helton Fernando Scherer, Manuel Pasamontes, José Domingo Álvarez, José Luis Guzmán, Eduardo Camponogara
Distributed model predictive control for energy distribution. ECC 2013: 2770-2776 - [c20]Eduardo Camponogara
Optimizing QoS in Adaptive Real-Time Systems with Energy Constraint Varying CPU Frequency. SBESC 2013: 101-106 - 2012
- [j17]Andrés Codas, Sthener Campos, Eduardo Camponogara
Integrated production optimization of oil fields with pressure and routing constraints: The Urucu field. Comput. Chem. Eng. 46: 178-189 (2012) - [j16]Andrés Codas, Eduardo Camponogara
Mixed-integer linear optimization for optimal lift-gas allocation with well-separator routing. Eur. J. Oper. Res. 217(1): 222-231 (2012) - [j15]Ríad Nassiffe, Eduardo Camponogara, George Lima
Optimizing quality of service in real-time systems under energy constraints. ACM SIGOPS Oper. Syst. Rev. 46(1): 82-92 (2012) - [j14]Eduardo Camponogara
Distributed Optimization for MPC of Linear Networks With Uncertain Dynamics. IEEE Trans. Autom. Control. 57(3): 804-809 (2012) - 2011
- [j13]Lucas Guardalben
Self-Configuration and Self-Optimization Process in Heterogeneous Wireless Networks. Sensors 11(1): 425-454 (2011) - [j12]Eduardo Camponogara
Distributed Optimization for Model Predictive Control of Linear Dynamic Networks With Control-Input and Output Constraints. IEEE Trans Autom. Sci. Eng. 8(1): 233-242 (2011) - [j11]Luiz Alberto Koehler, Werner Kraus Jr.
Iterative Quadratic Optimization for the Bus Holding Control Problem. IEEE Trans. Intell. Transp. Syst. 12(4): 1568-1575 (2011) - [c19]Marcelo Lopes de Lima, Eduardo Camponogara
A framework for adaptive tuning of distributed model predictive controllers by Lagrange multipliers. ISIC 2011: 1516-1523 - [c18]Helton Fernando Scherer, Eduardo Camponogara
Transfer function modeling of linear dynamic networks for distributed MPC. CASE 2011: 613-618 - [c17]Ríad Nassiffe
A Model for Reconfiguration of Multi-Modal Real-Time Systems under Energy Constraints. SBESC 2011: 127-132 - 2010
- [j10]Werner Kraus Jr.
Cost Effective Real-Time Traffic Signal Control Using the TUC Strategy. IEEE Intell. Transp. Syst. Mag. 2(4): 6-17 (2010) - [j9]Eduardo Camponogara, Ricardo Boveto Shima:
Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach. J. Univers. Comput. Sci. 16(3): 372-401 (2010) - [j8]Eduardo Camponogara
Optimization-Based Dynamic Reconfiguration of Real-Time Schedulers with Support for Stochastic Processor Consumption. IEEE Trans. Ind. Informatics 6(4): 594-609 (2010) - [c16]Felipe Augusto de Souza, Vinícius B. Peccin
Distributed model predictive control applied to urban traffic networks: Implementation, experimentation, and analysis. CASE 2010: 399-405
2000 – 2009
- 2009
- [j7]Eduardo Camponogara
Lift-Gas Allocation Under Precedence Constraints: MILP Formulation and Computational Analysis. IEEE Trans Autom. Sci. Eng. 6(3): 544-551 (2009) - [j6]Eduardo Camponogara
Distributed Optimization for Model Predictive Control of Linear-Dynamic Networks. IEEE Trans. Syst. Man Cybern. Part A 39(6): 1331-1338 (2009) - [c15]Augusto Born de Oliveira, Eduardo Camponogara
Dynamic Reconfiguration in Reservation-Based Scheduling: An Optimization Approach. IEEE Real-Time and Embedded Technology and Applications Symposium 2009: 173-182 - [c14]Eduardo Camponogara
Distributed Optimization for Predictive Control with Input and State Constraints: Preliminary Theory and Application to Urban Traffic Control. SMC 2009: 3726-3732 - 2008
- [c13]Eduardo Camponogara
Column generation for solving a compressor scheduling problem. CASE 2008: 796-801 - [c12]George Lima, Eduardo Camponogara
Dynamic Reconfiguration for Adaptive Multiversion Real-Time Systems. ECRTS 2008: 115-124 - 2007
- [j5]Eduardo Camponogara
Distributed Model Predictive Control: Synchronous and Asynchronous Computation. IEEE Trans. Syst. Man Cybern. Part A 37(5): 732-745 (2007) - [c11]Eduardo Camponogara
Compressor Scheduling in Oil Fields: A Piecewise-Linear Formulation. CASE 2007: 436-441 - [c10]Eduardo Camponogara
Lift-gas allocation under precedence constraints: 1-configuration inequalities. SMC 2007: 2727-2732 - 2006
- [j4]Eduardo Camponogara
Solving a gas-lift optimization problem by dynamic programming. Eur. J. Oper. Res. 174(2): 1220-1246 (2006) - [j3]Paulo H. R. Nakashima, Eduardo Camponogara
Optimization of Lift-Gas Allocation Using Dynamic Programming. IEEE Trans. Syst. Man Cybern. Part A 36(2): 407-414 (2006) - 2005
- [j2]Eduardo Camponogara
Designing Communication Networks to Decompose Network Control Problems. INFORMS J. Comput. 17(2): 207-223 (2005) - [c9]Eduardo Camponogara
Gas-Lift Allocation under Precedence Constraints: Piecewise-Linear Formulation and K-Covers. CDC/ECC 2005: 4422-4427 - [c8]Eduardo Camponogara
Seeking Multiobjective Optimization in Uncertain, Dynamic Games. EPIA 2005: 572-583 - [c7]Roberto Alexandre Dias, Eduardo Camponogara
Supporting Differentiated QoS in MPLS Networks. IWQoS 2005: 206-218 - 2004
- [j1]Eduardo Camponogara
Designing communication networks for distributed control agents. Eur. J. Oper. Res. 153(3): 544-563 (2004) - [c6]Eduardo Camponogara
On the Convergence to and Location of Attractors of Uncertain, Dynamic Games. SBIA 2004: 484-493 - 2003
- [c5]Eduardo Camponogara
Distributed Learning Agents in Urban Traffic Control. EPIA 2003: 324-335 - [c4]Roberto Alexandre Dias, Eduardo Camponogara
Implementing Traffic Engineering in MPLS-Based IP Networks with Lagrangean Relaxation. ISCC 2003: 373-378 - 2002
- [c3]Eduardo Camponogara
Altruistic Agents in Dynamic Games. SBIA 2002: 74-84 - 2001
- [c2]Sarosh Talukdar, Eduardo Camponogara
Network Control as a Distributed, Dynamic Game. HICSS 2001 - 2000
- [c1]Sarosh Talukdar, Eduardo Camponogara:
Collaborative Nets. HICSS 2000
Coauthor Index
Eric A. Antonelo
aka: Eric Aislan Antonelo
aka: Eric Aislan Antonelo
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-08 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: