Best Reference Books for Estimation And Identification

by BuildMyVocab

List of "Best Reference Books for Estimation 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. Random Signals Estimation and Identification: Analysis and Applications by Nirode Mohanty
    Springer (Number of pages: 626)
  2. Spectrum Estimation and System Identification by S.Unnikrishna Pillai,Theodore I. Shim
    Springer (Number of pages: 327)
  3. Identification of Dynamic Systems: An Introduction with Applications by Rolf Isermann,Marco Münchhof
    Springer (Number of pages: 705)
  4. Recursive Nonlinear Estimation: A Geometric Approach (Lecture Notes in Control and Information Sciences) by Rudolph Kulhavy
    Springer (Number of pages: 227)
  5. System Identification and Adaptive Control (Advances in Industrial Control) by Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou
    Springer Nature (Number of pages: 313)
  6. System Identification Using Regular and Quantized Observations: Applications of Large Deviations Principles (SpringerBriefs in Mathematics) by Qi He,Le Yi Wang,George G. Yin
    Springer (Number of pages: 95)
  7. Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation (Lecture Notes in Control and Information Sciences) by Heidar A. Talebi,Farzaneh Abdollahi,Rajni V. Patel,Khashayar Khorasani
    Springer (Number of pages: 154)
  8. System Identification: An Introduction (Advanced Textbooks in Control and Signal Processing) by Karel J. Keesman
    Springer (Number of pages: 323)
  9. Identification, Estimation and Statistics Signal Processing by
    World Scientific Pub Co Inc
  10. Laboratory Techniques in Biochemistry and Molecular Biology: Immunochemical Techniques for Identification and Estimation of Macromolecules v.1 by J. Clausen
    Elsevier Science Publishing Co Inc.,U.S. (Number of pages: 176)

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