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A Perspective on Estimation and Prediction for Batch Reactors

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Book cover Batch Processing Systems Engineering

Part of the book series: NATO ASI Series ((NATO ASI F,volume 143))

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Abstract

Estimation of states and prediction of outputs for poorly known processes in general, and batch reactors in particular, have conventionally been approached using empiricism and experience, with apparently inadequate regard for the underlying reasons and structure. In this work, a consistent perspective is presented that clarifies some important issues, explains the causes behind some of the intuition-based tactics, and offers concrete guidelines for a logical approach to the estimation problem.

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References

  1. Biegler, L.T., Damiano, J.J., and Blau, G.E. Nonlinear Parameter Estimation: A Case Study Comparison. AICHEJ., 32(1), 29–45, (1986).

    Article  Google Scholar 

  2. Eykhoff, P. A Bird’s Eye View on Parameter Estimation and System Identification. Automatisierungstechnik, 36(11), 413–479, (1988).

    Google Scholar 

  3. Goldman, S.F. and Sargent, P.W.H. Applications of Linear Estimation Theory to Chemical Processes: A Feasibility Study. Chem. Eng. Sci., 26, 1535–1553, (1971).

    Article  Google Scholar 

  4. Jazwinski, A.H. Stochastic Processes and Filtering Theory, Academic Press, New York, (1970)

    MATH  Google Scholar 

  5. Liang, D.F. Exact and Approximate State Estimation Techniques for Nonlinear Dynamic Systems. Control Dynamic Systems, 19, 1–80, (1983).

    Google Scholar 

  6. Ljung, L., and Gunnarsson, S. Adaptation and Tracking in System Identification - A Survey, Automatica, 26, 721,(1990).

    Article  MathSciNet  Google Scholar 

  7. Sorenson, H.W., editor, Kalman Filtering. Theory and Application, IEEE Press, New York, (1985). 8 Zeitz, M., Nonlinear Observers. Regelungstechnik, 27 (8). 241–272, (1979), (in German)

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© 1996 Springer-Verlag Berlin Heidelberg

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Agarwal, M. (1996). A Perspective on Estimation and Prediction for Batch Reactors. In: Reklaitis, G.V., Sunol, A.K., Rippin, D.W.T., Hortaçsu, Ö. (eds) Batch Processing Systems Engineering. NATO ASI Series, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60972-5_14

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  • DOI: https://doi.org/10.1007/978-3-642-60972-5_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64635-5

  • Online ISBN: 978-3-642-60972-5

  • eBook Packages: Springer Book Archive

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