Best Reference Books for Process Modelling And Identification

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List of "Best Reference Books for Process Modelling And Identification" compiled based on Amazon book reviews by experts. These books are used by students of top institutes, universities, colleges and professionals. Please feel free to suggest any other book on this topic using the comment section below.

  1. Modelling Spatial Processes: The Identification and Analysis of Spatial Relationships in Regression Residuals by Means of Moran’s I (Lecture Notes in Earth Sciences) by Michael Tiefelsdorf
    Springer (Number of pages: 167)
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  2. Analysis and Control of Nonlinear Process Systems (Advanced Textbooks in Control and Signal Processing) by Katalin M. Hangos,József Bokor,Gábor Szederkényi
    Springer (Number of pages: 310)
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  3. Process Modelling, Identification, and Control by Miroslav Fikar,Mikle
    Springer (Number of pages: 512)
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  4. Computer Applications in Fermentation Technology: Modelling and Control of Biotechnological Processes by
    Springer (Number of pages: 472)
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  5. Process Modelling, Identification, and Control by Ján Mikleš,Miroslav Fikar
    Springer (Number of pages: 480)
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  6. Adaptive Algorithms and Stochastic Approximations (Stochastic Modelling and Applied Probability) by Albert Benveniste,Michel Metivier,Pierre Priouret
    Springer (Number of pages: 364)
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  7. Identification, Adaptation, Learning: The Science of Learning Models from Data (Nato ASI Subseries F:) by
    Springer (Number of pages: 552)
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  8. Process Control: Theory and Applications by Jean-Pierre Corriou
    Springer (Number of pages: 752)
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  9. An Introduction to Process Modelling Identification and Control for Engineers by Rames C. Panda,T. Thyagarajan
    Alpha Science International Ltd (Number of pages: 456)
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  10. Process Modelling, Identification, and Control by
    Koros Press Limited
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