Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Angel L. Cedeno"'
Autor:
Angel L. Cedeno, Maria Coronel, Rafael Orellana, Patricio Varas, Rodrigo Carvajal, Boris I. Godoy, Juan C. Aguero
Publikováno v:
IEEE Access, Vol 12, Pp 60883-60895 (2024)
In this paper, we have proposed a new paradigm for modeling of SAG mills. Typically, important parameters found in the modeling of such processes are described as state-space system model rather than unknown parameters. Here, we propose to estimate t
Externí odkaz:
https://doaj.org/article/ad55845f3f7541f08c1ca825f73af511
Publikováno v:
IEEE Access, Vol 11, Pp 24615-24630 (2023)
In this paper a Maximum likelihood estimation algorithm for Finite Impulse Response Errors-in-Variables systems is developed. We consider that the noise-free input signal is Gaussian-mixture distributed. We propose an Expectation-Maximization-based a
Externí odkaz:
https://doaj.org/article/81937253501049938ed7396050b0a04f
Publikováno v:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).
Publikováno v:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).
Publikováno v:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).
Publikováno v:
2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA).
Publikováno v:
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1327 (2023)
The problem of state estimation of a linear, dynamical state-space system where the output is subject to quantization is challenging and important in different areas of research, such as control systems, communications, and power systems. There are a
Externí odkaz:
https://doaj.org/article/0d85fc9a27db4299a864a4f348aa30b1
Autor:
Angel L. Cedeño, Reinier López Ahuar, José Rojas, Gonzalo Carvajal, César Silva, Juan C. Agüero
Publikováno v:
Energies, Vol 15, Iss 17, p 6427 (2022)
This paper proposes a model-based predictive control strategy based on mixed-integer linear programming for a photovoltaic power plant with battery energy storage. The control objective is to maximize the revenues from energy delivered from both phot
Externí odkaz:
https://doaj.org/article/cf9439f93e4544f29dca99f42134da8e
Publikováno v:
Sensors, Vol 21, Iss 22, p 7675 (2021)
Filtering and smoothing algorithms are key tools to develop decision-making strategies and parameter identification techniques in different areas of research, such as economics, financial data analysis, communications, and control systems. These algo
Externí odkaz:
https://doaj.org/article/96147113c8be49f388b358fe2989929c