Here is the listing of Best reference books on Process Modelling and Identification.
|1. “Recursive Estimation and Time Series Analysis” by Young, Peter
Book Review: This book explains the concept of recursive estimation and demonstrates modeling of stochastic dynamic systems. This book is useful for undergraduate and master students and also practitioners who are involved in the field of recursive estimation and time series analysis. This is a very useful reference guide and also provides many basics along with numerous solved examples, problems and computer programs.
|2. “System Identification: Theory and Practice for Users” by L. Ljung
Book Review: This book explains the theory, methodology and applications related to system identification. The book provides introduction to subspace methods, frequency domain data methods, nonlinear black box methods, neural networks and neuro fuzzy modeling. The book combines the concepts of mathematics, real world applications and exercises. The book also carries out asymptotic analysis of parameter estimates, linear regressions, iterative search methods and other ways to compute estimates.
|3. “Process Modelling, Identification, and Control” by Jan Mikles|
|4. “Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control)” by Benoît Codrons|
|5. “Reliability and Safety of Complex Technical Systems and Processes” by Joanna Soszy Ska-Budny|
|6. “Modelling Spatial Processes” by Michael Tiefelsdorf|
|7. “Process Modelling” by Arnim Nethe|
|8. “Process Modelling for Control: A Unified Framework Using Standard Black-Box Techniques” by Codrons|
|9. “Process Modelling and Landform Evolution” by Neugebauer Hergarten|
|10. “Advanced Process Identification and Control” by Najim Enso Ikonen|
Sanfoundry Global Education & Learning Series – Best Reference Books!