journals

[1]	Román Comelli, Sorin Olaru, María M Seron, and Ernesto Kofman. Application of a stabilizing model predictive controller to path following for a car-like agricultural robot. Optimal Control Applications and Methods, 2024. [ bib \| http ]
[2]	Rodrigo Castro, Mariana Bergonzi, Ezequiel Pecker Marcosig, Joaquín Fernández, and Ernesto Kofman. Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods. SIMULATION, page 00375497241230985, 2024. [ bib \| http ]
[3]	Román Comelli, Sorin Olaru, and Ernesto Kofman. Inner--outer approximation of robust control invariant sets. Automatica, 159:111350, 2024. [ bib \| .pdf ]
[4]	Mariana Bergonzi, Joaquín Fernández, Rodrigo Castro, Alexandre Muzy, and Ernesto Kofman. Quantization-based simulation of spiking neurons: theoretical properties and performance analysis. Journal of Simulation, pages 1--24, 2023. [ bib \| .pdf ]
[5]	Román Comelli, Alejandro H González, Antonio Ferramosca, Sorin Olaru, María M Seron, and Ernesto Kofman. Simplified design of practically stable mpc schemes. Systems & Control Letters, 180:105626, 2023. [ bib \| .pdf ]
[6]	Javier Cremona, Javier Civera, Ernesto Kofman, and Taihú Pire. Gnss-stereo-inertial slam for arable farming. Journal of Field Robotics, 2023. [ bib \| .pdf ]
[7]	Ismael Ait, Ernesto Kofman, and Taihú Pire. A travelling salesman problem approach to efficiently navigate crop row fields with a car-like robot. IEEE Latin America Transactions, 21(5):643--651, 2023. [ bib \| http ]
[8]	Denise Marzorati, Joaquin Fernández, and Ernesto Kofman. Efficient connection processing in equation--based object--oriented models. Applied Mathematics and Computation, 418:126842, 2022. [ bib \| .pdf ]
[9]	Lucio Santi, Joaquín Fernández, Ernesto Kofman, and Rodrigo Castro. retqss: A novel methodology for efficient modeling and simulation of particle systems in reticulated geometries. Computer Physics Communications, 270:108157, 2022. [ bib \| .pdf ]
[10]	Noelia Pizzi, Ernesto Kofman, Damián Edgardo Marelli, José Adrian De Doná, and Maria M Seron. Probabilistic ultimate bounds and invariant sets in nonlinear systems. Automatica, 133:109853, 2021. [ bib \| .pdf ]
[11]	L. De Candia, N. Santucci, A. Alloatti, J. Barchiesi, F. Bergonzi, M.and Blázquez, D. Cattáneo, A. L. Cavatorta, A. Chumpitaz, P. Cribb, and E. Kofman. Efecto de la vacunación sobre la transmisión intradomiciliaria del SARS-COV-2 en la Provincia de Santa Fe. Revista Argentina de Salud Pública, 13:28--28, 2021. [ bib ]
[12]	Ernesto Kofman, Joaquín Fernández, and Denise Marzorati. Compact sparse symbolic jacobian computation in large systems of odes. Applied Mathematics and Computation, 403:126181, 2021. [ bib \| .pdf ]
[13]	Mariana Bergonzi, Ezequiel Pecker-Marcosig, Ernesto Kofman, and Rodrigo Castro. Discrete-Time Modeling of COVID-19 Propagation in Argentina with Explicit Delays. Computing in Science & Engineering, 23(1):35--45, 2021. [ bib \| .pdf ]
[14]	Franco Di Pietro, Joaquín Fernández, Gustavo Migoni, and Ernesto Kofman. Mixed--mode state--time discretization in ode numerical integration. Journal of Computational and Applied Mathematics, page 112911, 2020. [ bib \| .pdf ]
[15]	Taihú Pire, Martín Mujica, Javier Civera, and Ernesto Kofman. The rosario dataset: Multisensor data for localization and mapping in agricultural environments. The International Journal of Robotics Research, 2019. [ bib \| .pdf ]
[16]	Gustavo Andres Migoni, Monica Romero, Federico Bergero, and Ernesto Kofman. A mixed modeling approach for efficient simulation of pwm switching mode power supplies. IEEE Transactions on Power Electronics, 2019. [ bib \| .pdf ]
[17]	Noelia Pizzi, Ernesto Kofman, José A De Doná, and Maria M Seron. Actuator fault tolerant control based on probabilistic ultimate bounds. ISA transactions, 84:20--30, 2019. [ bib \| .pdf ]
[18]	Franco Di Pietro, Gustavo Migoni, and Ernesto Kofman. Improving linearly implicit quantized state system methods. Simulation: Transactions of the Society for Modeling and Simulation International, 95(2):127--144, 2019. [ bib \| .pdf ]
[19]	A Anderson, AH González, A Ferramosca, and E Kofman. Finite-time convergence results in robust model predictive control. Optimal Control Applications and Methods, 39(5):1627--1637, 2018. [ bib \| .pdf ]
[20]	Alejandro Anderson, Alejandro González, Antonio Ferramosca, and Ernesto Kofman. Robust MPC suitable for closed-loop re-identification, based on probabilistic invariant sets. Systems & Control Letters, 118:84--93, 2018. [ bib \| .pdf ]
[21]	F. Bergero, F. Casella, E. Kofman, and J. Fernandez. On the Efficiency of Quantization--Based Integration Methods for Building Simulation. Building Simulation, 11(2):405--418, 2018. [ bib \| .pdf ]
[22]	J. Fernandez, F. Bergero, and E. Kofman. A Parallel Stand--Alone Quantized State System Solver for Continuous System Simulation. Journal of Parallel and Distributed Computing, 106:14--30, 2017. [ bib \| .pdf ]
[23]	A. Anderson, A. Ferramosca, A. González, and E. Kofman. Probabilistic Invariant Sets for Closed-Loop Re-Identification. IEEE Latin America Transactions, 14(6):2742--2749, 2016. [ bib \| .pdf ]
[24]	N. Pizzi, E. Kofman, M. Seron, and J. De Doná. Actuator Fault Diagnosis Using Probabilistic Ultimate Bounds. IEEE Latin America Transactions, 14(6):2548--2543, 2016. [ bib \| .pdf ]
[25]	G. Migoni, P. Rullo, F. Bergero, and E. Kofman. Efficient Simulation of Hybrid Renewable Energy Systems. International Journal of Hydrogen Energy, 41(32):13934--13949, 2016. [ bib \| .pdf ]
[26]	E. Kofman, M. Seron, J. De Doná, and N. Pizzi. Continuous--Time Probabilistic Ultimate Bounds and Invariant Sets: Computation and Assignment. Automatica, 71:98--105, 2016. [ bib \| .pdf ]
[27]	Federico Bergero, Joaquín Fernández, Ernesto Kofman, and Margarita Portapila. Time Discretization versus State Quantization in the Simulation of a 1D Advection-Diffusion-Reaction Equation. Simulation: Transactions of the Society for Modeling and Simulation International, 92(1):47--61, 2016. [ bib \| .pdf ]
[28]	G. Migoni, F. Bergero, E. Kofman, and J. Fernández. Quantization-Based Simulation of Switched Mode Power Supplies. Simulation: Transactions of the Society for Modeling and Simulation International, 91(4):320--336, 2015. [ bib \| .pdf ]
[29]	R. Castro and E. Kofman. Activity of Order n in Continuous Systems. Simulation: Transactions of the Society for Modeling and Simulation International, 91(4):337--348, 2015. [ bib \| .pdf ]
[30]	Joaquín Fernández and Ernesto Kofman. A Stand-Alone Quantized State System Solver for Continuous System Simulation. Simulation: Transactions of the Society for Modeling and Simulation International, 90(7):782--799, 2014. [ bib \| .pdf ]
[31]	Federico Bergero and Ernesto Kofman. A Vectorial DEVS Extension for Large Scale System Modeling and Parallel Simulation. Simulation: Transactions of the Society for Modeling and Simulation International, 90(5):522--546, 2014. [ bib \| .pdf ]
[32]	G. Migoni, M. Bortolotto, E. Kofman, and F. Cellier. Linearly Implicit Quantization-Based Integration Methods for Stiff Ordinary Differential Equations. Simulation Modelling Practice and Theory, 35:118--136, 2013. [ bib \| http \| .pdf ]
[33]	Federico Bergero, Ernesto Kofman, and François E. Cellier. A Novel Parallelization Technique for DEVS Simulation of Continuous and Hybrid Systems. Simulation: Transactions of the Society for Modeling and Simulation International, 89(6):663--683, 2013. [ bib \| http \| .pdf ]
[34]	E. Kofman, J. De Doná, and M. Seron. Probabilistic Set Invariance and Ultimate Boundedness. Automatica, 48(10):2670--2676, 2012. [ bib \| http \| .pdf ]
[35]	C. Perfumo, E. Kofman, J. Braslavsky, and J.K. Ward. Load Management: Model-Based Control of Aggregate Power for Populations of Thermostatically Controlled Loads. Energy Conversion and Management, 55:36--48, 2012. [ bib \| http \| .pdf ]
[36]	G. Migoni, E. Kofman, and F. Cellier. Quantization-Based New Integration Methods for Stiff ODEs. Simulation: Transactions of the Society for Modeling and Simulation International, 88(4):387--407, 2012. [ bib \| http \| .pdf ]
[37]	G. Grinblat, H. Ahumada, and E. Kofman. Quantized State Simulation of Spiking Neural Networks. Simulation: Transactions of the Society for Modeling and Simulation International, 88(3):299--313, 2012. [ bib \| http \| .pdf ]
[38]	R. Castro, E. Kofman, and F. Cellier. Quantization Based Integration Methods for Delay Differential Equations. Simulation Modelling Practice and Theory, 19(1):314--336, 2011. [ bib \| http \| .pdf ]
[39]	F. Bergero and E. Kofman. PowerDEVS. A Tool for Hybrid System Modeling and Real Time Simulation. Simulation: Transactions of the Society for Modeling and Simulation International, 87(1--2):113--132, 2011. [ bib \| http \| .pdf ]
[40]	R. Castro, E. Kofman, and G. Wainer. A Formal Framework for Stochastic DEVS Modeling and Simulation. Simulation: Transactions of the Society for Modeling and Simulation International, 86(10):587--611, 2010. [ bib \| http \| .pdf ]
[41]	G. Migoni and E. Kofman. Linearly Implicit Discrete Event Methods for Stiff ODEs. Latin American Applied Research, 39(3):245--254, 2009. [ bib \| .pdf \| .pdf ]
[42]	E. Kofman. Relative Error Control in Quantization Based Integration. Latin American Applied Research, 39(3):231--238, 2009. [ bib \| .pdf \| .pdf ]
[43]	E. Kofman, M. Seron, and H. Haimovich. Control Design with Guaranteed Ultimate Bound for Perturbed Systems. Automatica, 44(7):1815--1821, 2008. [ bib \| http \| .pdf ]
[44]	S. Dormido, J. Sánchez, and E. Kofman. Muestreo, control y comunicación basados en eventos. Revista Iberoamericana de Automática e Informática Industrial (RIAI), 5(1):5--26, 2008. [ bib \| http \| .pdf ]
[45]	G. Migoni, E. Kofman, and F. Cellier. Integración por Cuantificación de Sistemas Stiff. Revista Iberoamericana de Automática e Informática Industrial, 4(3):97--106, 2007. [ bib \| http \| .pdf ]
[46]	H. Haimovich, E. Kofman, and M. Seron. Systematic ultimate bound computation for sampled-data systems with quantization. Automatica, 43(6):1117--1123, 2007. [ bib \| http \| .pdf ]
[47]	E. Kofman, H. Haimovich, and M. Seron. A systematic method to obtain ultimate bounds for perturbed systems. International Journal of Control, 80(2):167--178, 2007. [ bib \| http \| .pdf ]
[48]	E. Kofman. A Third Order Discrete Event Simulation Method for Continuous System Simulation. Latin American Applied Research, 36(2):101--108, 2006. [ bib \| .pdf \| .pdf ]
[49]	E. Kofman. Non-conservative ultimate bound estimation in LTI perturbed systems. Automatica, 41(10):1835--1838, 2005. [ bib \| http \| .pdf ]
[50]	E. Kofman. Discrete Event Control of Time Varying Plants. Latin American Applied Research, 35(2):135--141, 2005. [ bib \| .pdf \| .pdf ]
[51]	E. Kofman. Discrete Event Simulation of Hybrid Systems. SIAM Journal on Scientific Computing, 25(5):1771--1797, 2004. [ bib \| http \| .pdf ]
[52]	E. Kofman. Quantization--Based Simulation of Differential Algebraic Equation Systems. Simulation: Transactions of the Society for Modeling and Simulation International, 79(7):363--376, 2003. [ bib \| http \| .pdf ]
[53]	E. Kofman. Quantized-State Control. A Method for Discrete Event Control of Continuous Systems. Latin American Applied Research, 33(4):399--406, 2003. [ bib \| .pdf \| .pdf ]
[54]	E. Kofman. A Second Order Approximation for DEVS Simulation of Continuous Systems. Simulation: Transactions of the Society for Modeling and Simulation International, 78(2):76--89, 2002. [ bib \| http \| .pdf ]
[55]	E. Kofman and S. Junco. Quantized State Systems. A DEVS Approach for Continuous System Simulation. Transactions of SCS, 18(3):123--132, 2001. [ bib \| http \| .pdf ]

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