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Sobre la Solución Numérica de Problemas Inversos
(2019-04-11)
En este trabajo se revisan algunos métodos numéricos y estadísticos para la solución de problemas inversos. El enfoque Bayesiano presentado es cada vez más utilizado en las aplicaciones y proporciona una estimación de la ...
Solving stochastic epidemiological models using computer algebra
(SPIE-INT SOC OPTICAL ENGINEERING, 2011-01-01)
Mathematical modeling in Epidemiology is an important tool to understand the ways under which the diseases are transmitted and controlled. The mathematical modeling can be implemented via deterministic or stochastic models. ...
Complementary inverse modeling and machine learning techniques for air pollution assessment
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2022-12-05)
Deterministic AQM estimate the relationship between sources of pollution and their effects on ambient air quality by simulating the evolution over time of pollutant concentrations of pollutant species. However, a key input ...
State and parameter estimation based on a nonlinear filter applied to an industrial process control of ethanol production
(Brazilian Soc Chemical EngSao PauloBrasil, 2000)
Comparação de mapas temáticos de dados pluviométricos utilizando como interpoladores a krigagem e o inverso do quadrado da distância
(Universidade Tecnológica Federal do ParanáToledoBrasilEngenharia CivilUTFPR, 2019-06-11)
Annual total rainfall is a parameter for water planning of a region and papers use thematic maps to generate the surface, but few evaluate the best interpolator for these data. In this paper it’s compared the methods of ...
Variable forgetting factor least squares identification algorithm : a convergence analysis
(Elsevier, 1988)
This paper studies the convergences of the least-squares identification algorithm with variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and ...
Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
(Elsevier, 1987)
This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and ...
A simulation-optimization approach for the facility location and vehicle assignment problem for firefighters using a loosely coupled spatio-temporal arrival process
(2021-07)
This work proposes a framework to aid the strategic decision making regarding the proper location of fire stations as well as their assignment of vehicles to improve emergency response. We present an iterative simulation ...
Stochastic AC Optimal Power Flow Considering the Probabilistic Behavior of the Wind, Loads and Line Parameters
(Facultad de Ingeniería, 2015)