Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Alejandro Rincón"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 10, Pp 17747-17782 (2023)
Modeling soil moisture as a function of meteorological data is necessary for agricultural applications, including irrigation scheduling. In this study, empirical water balance models and empirical compartment models are assessed for estimating soil m
Externí odkaz:
https://doaj.org/article/167377c7514d417792122336b6823b42
Autor:
Alejandro Rincón-Casado, Enrique Ángel Rodríguez Jara, Alvaro Ruiz Pardo, José Manuel Salmerón Lissén, Francisco José Sánchez de la Flor
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6596 (2024)
This work presents a study of a ventilated hollow core slab system (VHCS) that obviates the need to completely replace the slab of an existing residential building. It is assimilated to a heat exchanger to allow its effectiveness to be studied as a f
Externí odkaz:
https://doaj.org/article/ef4b846336384422970fe03e2528cde6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 2, Pp 3396-3424 (2023)
In this work, the global stability of a continuous bioreactor model is studied, with the concentrations of biomass and substrate as state variables, a general non-monotonic function of substrate concentration for the specific growth rate, and constan
Externí odkaz:
https://doaj.org/article/6933fb7abf5544da824ad3ef6fc41d02
Publikováno v:
Fermentation, Vol 9, Iss 8, p 705 (2023)
Gluconacetobacter diazotrophicus is an endophytic bacterium that has shown important plant growth-promoting properties. During the growth of G. diazotrophicus with high carbon source concentrations, organic acids are produced, and pH decreases, thus
Externí odkaz:
https://doaj.org/article/985c9dc766c742328bb5c786575d65c6
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 3, Pp 2103-2137 (2020)
We analyze a generalized form of the Fujikawas growth model which involves an adaptation function that enhances the representation of the lag phase. This model is autonomous, and combines a power law term, a saturation term and an adaptation function
Externí odkaz:
https://doaj.org/article/feb9945e33744810bb69aa9bda97f300
Publikováno v:
Sensors, Vol 22, Iss 18, p 6988 (2022)
The properties of the convergence region of the estimation error of a robust observer for second-order systems are determined, and a new algorithm is proposed for setting the observer parameters, considering persistent but bounded disturbances in the
Externí odkaz:
https://doaj.org/article/bac632d829af4383895e337421c25451
Publikováno v:
Symmetry, Vol 14, Iss 6, p 1232 (2022)
In this work, a controller is developed for a continuous bioreactor with an unknown reaction rate term, subject to input saturation. The substrate concentration and the dilution rate are chosen as output and input, respectively. The controller formul
Externí odkaz:
https://doaj.org/article/2944fa1f9b7a4c8f85e95988a53d693a
Publikováno v:
Mathematics, Vol 10, Iss 11, p 1855 (2022)
In this work, a new robust controller is designed for a second-order plant model, considering asymmetric output constraints. The tracking error convergence and output constraint are achieved by using a control law whose output feedback term is user-d
Externí odkaz:
https://doaj.org/article/2cc8738db08a4e7792de7da8b15a7cf0
Publikováno v:
Fermentation, Vol 8, Iss 4, p 173 (2022)
This paper addresses the design and evaluation of a robust observer for second order bioprocesses considering unknown bounded disturbance terms and uncertainty in the dynamics of the unknown and known states. The observer design and the stability ana
Externí odkaz:
https://doaj.org/article/90539cc2d1f749c883593e432f9fa1b7
Publikováno v:
Symmetry, Vol 14, Iss 4, p 728 (2022)
The accuracy of control systems applied to motors is influenced by uncertainties and abrupt variations of the load and system parameters. Some robust control strategies have been proposed in the literature for responding to disturbances and uncertain
Externí odkaz:
https://doaj.org/article/102cd37d585e4ef8b08d9293d99fd025