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Recursive parameter and state estimation for a mining industry process

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4 Author(s)
Lopez, R.A. ; Electron. Eng. Dept., Univ. Tec. Federico Santa Maria (UTFSM), Valparaíso, Chile ; Yuz, J.I. ; Creixell, W.U. ; Ramirez, J.A.

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.

Published in:

Control & Automation (MED), 2012 20th Mediterranean Conference on

Date of Conference:

3-6 July 2012

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