Recursive parameter and state estimation for a mining industry process

Rodrigo A. Lopez, Juan I. Yuz, Werner U. Creixell, Jaime A. Ramirez

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

In this paper we consider the problem of recursive state and parameter estimation of a nonlinear system. We propose an approach where we combine Particle Filter (for state estimation) and Recursive Least Squares (for parameter estimation) The class of nonlinear systems is motivated by a real process of the copper mining industry. The proposed approach is tested with real data. © 2012 IEEE.
Original languageEnglish
Pages30-35
Number of pages6
DOIs
Publication statusPublished - 5 Oct 2012
Event2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings -
Duration: 5 Oct 2012 → …

Conference

Conference2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings
Period5/10/12 → …

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  • Cite this

    Lopez, R. A., Yuz, J. I., Creixell, W. U., & Ramirez, J. A. (2012). Recursive parameter and state estimation for a mining industry process. 30-35. Paper presented at 2012 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings, . https://doi.org/10.1109/MED.2012.6265610