Abstract
Microprocessor-based state estimation in connection with process supervision and control is treated in this article. The state-of-the-art is briefly analysed on the basis of a literature survey, which confirms that very few on-line applications exist. The most commonly used state estimation algorithms, i.e. the Luenberger type observer, the Kalman-Bucy filter, the extended Kalman filter, as well as a nonlinear extension especially suitable for on-line computation, are reviewed with some comments concerning their applicibility to microprocessor-based process control. Applications concerning on-line state estimation of the activated sludge waste water treatment process and a pH control process are introduced.
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© 1983 D. Reidel Publishing Company
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Holmberg, A., Orava, J. (1983). State Estimation Using Microprocessors for Process Supervision and Control. In: Tzafestas, S.G. (eds) Microprocessors in Signal Processing, Measurement and Control. International Series on Microprocessor-Based Systems Engineering, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7007-6_8
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DOI: https://doi.org/10.1007/978-94-009-7007-6_8
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