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Estimation and control of industrial processes with particle filters

Abstract:
We present a probabilistic approach to state estimation and control of industrial processes. In particular, we adopt a jump Markov linear Gaussian (JMLG) model to describe an industrial heat exchanger. The parameters of this model are identified with the expectation maximisation (EM) algorithm. After identification, particle filtering algorithms are adopted to diagnose, in real-time, the state of operation of the heat exchanger. The particle filtering estimates are then used to drive an automatic control system.

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Publisher copy:
10.1109/ACC.2003.1239081

Authors


R. Morales−Menendez More by this author
N. de Freitas More by this author
Volume:
1
Publication date:
2003
DOI:
ISSN:
0743-1619
URN:
uuid:a93f5514-c17e-4ab6-9549-1a5463755b39
Local pid:
cs:7528

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