Schemes Decision Model Predictive Control Based on Convolution

Authors

  • Juan Tisza-Contreras Facultad de Ingeniería Electrónica y Eléctrica, Universidad Nacional Mayor de San Marcos.Lima, Perú.
  • Huber Nieto-Chaupis FIEM-Universidad Tecnológica del Perú.Lima,Perú.

Keywords:

convolution, predictive control, PID, Laplace

Abstract

In this paper, we propose a control scheme similar to the classical Predictive Control Model (MCP) emphasizing the mathematical model is based on convolution integrals with kernels delayed in time. The model is drawn from a study of identification of nonlinear systems assuming that the system could be described by the interaction of variables. In this work we have studied the application of decision in the control model with similarity to the MCP. It is oriented to the optimization of the particle size of the mineral would have to be effectively reduced to one that optimizes the cost-benefit ratio.

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Published

2011-12-30

Issue

No. 28 (2011)

Section

Original papers

License

Copyright (c) 2011 Juan Tisza-Contreras, Huber Nieto-Chaupis

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Creative Commons License
Electrónica - UNMSM by Facultad de Ingeniería Electrónica y Eléctrica de la Universidad Nacional Mayor de San Marcos is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at http://revistasinvestigacion.unmsm.edu.pe/index.php/electron/index.

How to Cite

Schemes Decision Model Predictive Control Based on Convolution. (2011). Electrónica - UNMSM, 28, 43-47. https://revistasinvestigacion.unmsm.edu.pe/index.php/electron/article/view/3037