Today, a deluge of information is available in a variety of formats. Industrial plants are equipped with distributed sensors and smart metering; huge data repositories are preserved in public and private institutions; computer net- works spread bits in any corner of the world at unexpected speed.
Model identification and data analysis
β Scribed by Bittanti, Sergio
- Publisher
- Wiley
- Year
- 2019
- Tongue
- English
- Leaves
- 403
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Cover......Page 1
Model Identification and Data Analysis......Page 3
Β© 2019......Page 4
Contents......Page 5
Introduction......Page 11
Acknowledgments......Page 14
1 Stationary Processes and Time Series......Page 16
2 Estimation of Process Characteristics......Page 62
3 Prediction......Page 75
4 Model Identification......Page 94
5 Identification of InputβOutput Models......Page 119
6 Model Complexity Selection......Page 167
7 Identification of State Space Models......Page 184
8 Predictive Control......Page 197
9 Kalman Filtering and Prediction......Page 219
10 Parameter Identification in a Given Model......Page 290
11 Case Studies......Page 299
Appendix A.Linear Dynamical Systems......Page 317
Appendix B.Matrices......Page 338
Appendix C.Problems and Solutions......Page 363
Bibliography......Page 396
Index......Page 401
β¦ Subjects
Mathematical models;Quantitative research;System identification
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