Algebraic Parameter Identification in a Thermal System Described by Newton’s Law of Cooling

Authors

DOI:

https://doi.org/10.20983/culcyt.2026.2.2.2

Keywords:

algebraic identification, thermal system, Newton’s law of cooling, parameter estimation, physical parameters

Abstract

This work presents the implementation of an algebraic identification technique to develop identifiers for the physical parameters of a thermal system governed by Newton’s law of cooling. The algebraic identifiers are derived from the dynamic model of the thermal system and are used to estimate the cooling parameter k, the ambient temperature T, and the initial body temperature T₀, using only the time-varying temperature signal as input. The results show that the proposed algebraic identifiers can accurately determine the physical parameters of the thermal system, even in the presence of input-signal noise. In addition, the implemented invariant filter enhances the convergence of the identification process when the temperature signal is corrupted by noise.

Downloads

Download data is not yet available.

Author Biographies

José Gabriel Mendoza Larios, Universidad Tecnológica de la Mixteca

Professor-researcher, Instituto de Ingeniería Industrial y Automotriz, Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México

Eduardo Barredo Hernández, Universidad Politécnica de Tapachula

Professor-researcher, Departamento de Ingeniería en Sistemas Automotrices, Universidad Politécnica de Tapachula, Tapachula - Puerto de San Benito, Chiapas, México

Luis Vázquez Sánchez, SECIHTI - Universidad Tecnológica de la Mixteca

Postdoctoral Researcher, SECIHTI - Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México

Miguel Alberto Domínguez Gurría, Universidad Tecnológica de la Mixteca

Professor-researcher, División de Estudios de Posgrado, Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México

Demetrio Pérez Vigueras, Universidad Tecnológica de la Mixteca

Professor-researcher, Instituto de Ingeniería Industrial y Automotriz, Universidad Tecnológica de la Mixteca, Huajuapan de León, Oaxaca, México

References

S. S. Sazhin, V. A. Gol'dshtein, M. R. Heikal, “A Transient Formulation of Newton's Cooling Law for Spherical Bodies”, J. Heat Transfer, vol. 123, n.° 1, pp. 63-64, feb. 2001, doi: 10.1115/1.1337650.

L. Ljung, Systems Identification: Theory for the User. Englewood Cliffs, Nueva Jersey: Prentice-Hall, 1987.

T. Söderström y P. Stoica, System Identification. Nueva York: Prentice-Hall, 1989.

S. Sagara y Z.-Y. Zhao, “Recursive identification of transfer function matrix in continuous systems via linear integral filter”, Int. J. Control, vol 50, n. º 2, pp. 457-477, 1989, doi: 10.1080/00207178908953377.

S. Sagara y Z.-Y. Zhao, “Numerical integration approach to on-line identification of continuous-time systems”, Automatica, vol. 26, n.º 1, pp. 63-74, en. 1990, doi: 10.1016/0005-1098(90)90158-E.

J. Ševčík, V. Šmídl y M. Votava, “Identification of Thermal Model Parameters Using Deep Learning Techniques”, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE), Anchorage, AK, EUA, 2022, pp. 978-981, doi: 10.1109/ISIE51582.2022.9831641.

F. Wang, J. Guo, Y. Jiang y C. Sun, “Parameter identification framework of thermal network model for ventilated heating floor”, Energy and Buildings, vol. 311, p. 114138, may. 2024, doi: 10.1016/j.enbuild.2024.114138.

G. Wang, M. Zhang, J. Huang, X. Liu, Q. Wang y D. Shen, “Parameter identification of condenser heat transfer model based on improved flower pollination algorithm”, Sci Rep, vol. 15, p. 39310, nov. 2025, doi: 10.1038/s41598-025-23041-8.

S. Liu, Q. An, Z. Yuan y P. Lei, “Physics-Informed Neural Networks for Parameter Identification of Equivalent Thermal Parameters in Residential Buildings During Winter Electric Heating”, Processes, vol. 13, n.° 19, p. 2860, sept. 2025, doi: 10.3390/pr13092860.

M. Fliess y H. Sira-Ramírez, “An algebraic frame work for linear identification”, ESAIM: COCV, vol. 9, pp. 151-168, feb. 2003, doi: 10.1051/cocv:2003008.

L. A. Baltazar-Tadeo et al., “An Integrated Balancing Method for Asymmetric Rotor-Bearing Systems: Algebraic Identification, Modal Balancing, and Active Balancing Disks”, J. Vib. Eng. Technol., vol. 11, n.º 2, pp. 619-645, jul. 2022, doi: 10.1007/s42417-022-00598-6.

L. A. Baltazar-Tadeo, J. Colín-Ocampo, A. Abúndez-Pliego, J. G. Mendoza-Larios, E. Martínez-Rayón y A. García-Villalobos, “Balancing of Asymmetric Rotor‑Bearing Systems Using Modal Masses Array Calculated by Algebraic Identification of Modal Unbalance”, J. Vib. Eng. Technol., vol. 12, n.º 3, pp. 4765-4788, oct. 2023, doi: 10.1007/s42417-023-01151-9.

J. U. Quiroz-Bautista, M. Arias-Montiel, J. G. Mendoza-Larios y L. Vázquez-Sánchez, “Experimental implementation of algebraic identifier for unbalance parameters in a rotor-bearing system”, Front. Mech. Eng., vol. 11, art. 1553759, pp. 1-11, mar. 2025, doi: 10.3389/fmech.2025.1553759.

J. G. Mendoza-Larios et al., “An Algebraic Approach for Identification of Rotordynamic Parameters in Bearings with Linearized Force Coefficients”, Mathematics, vol. 9, n.º 21, p. 2747, oct. 2021, doi: 10.3390/math9212747.

S. J. Landa-Damas et al., “A simplified Model for the On-Line Identification of Bearing Direct-Dynamic Parameters Based on Algebraic Identification (AI)”, Mathematics, vol. 11, n.º 14, p. 3131, jul. 2023, doi: 10.3390/math11143131.

E. Barredo, J. G. Mendoza, L. A. Baltazar y S. J. Landa, “Identificación algebraica de los parámetros físicos de un sistema rotor-cojinete simplificado de dos grados de libertad”, Cult. Científ. y Tecnol., vol. 21, n.º 1, pp. 4-12, feb. 2024, doi: 10.20983/culcyt.2024.1.2.1.

J. E. Martínez, M. A. Domínguez, J. G. Mendoza y E. Barredo, “Identificación paramétrica para un amortiguador regenerativo electromecánico”, Cult. Científ. y Tecnol., vol. 23, n.º 1, pp. 5-17, mar. 2026, doi: 10.20983/culcyt.2026.1.2.1.

O. A. Hasan, H. Abouaissa y D. Defer, “On-line fast parametric estimation of building thermal behavior using algebraic methods”, 2015 IEEE International Conference on Building Efficiency and Sustainable Technologies, Singapur, 2015, pp. 5-10, doi: 10.1109/ICBEST.2015.7435856.

P. Moreira y O. Ortega, “Ley de enfriamiento de Newton con temperatura variable”, Rev. Mex. Fis. E, vol. 22, n.° 1 en.-jun., p. 010218, en. 2025, doi: 10.31349/RevMexFis.22.010218.

Y. A. Çengel y A. J. Ghajar, Transferencia de Calor y Masa: Fundamentos y Aplicaciones, 6.ª ed. Ciudad de México: McGraw-Hill Interamericana Editores, 2020.

C. Aguilar-Ibanez, J. Sanchez, M. S. Suárez y J. C. Martínez, “On the algebraic reconstruction of the Duffing's mechanical system”, Physics Letters A, vol. 372, n.° 25, pp. 4569-4573, jun. 2008, doi: 10.1016/j.physleta.2008.04.047.

Published

2026-08-29

How to Cite

[1]
J. G. Mendoza Larios, E. Barredo Hernández, L. Vázquez Sánchez, M. A. Domínguez Gurría, and D. Pérez Vigueras, “Algebraic Parameter Identification in a Thermal System Described by Newton’s Law of Cooling”, Cult. Científ. y Tecnol., vol. 23, no. 2, pp. 16–26, Aug. 2026.

Issue

Section

Artículos