Model Identification and Data Analysis (1ST ed.) SERGIO BITTANTI

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Model Identification and Data Analysis (1ST ed.) This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from black-box model identification to parameter estimation, from spectral analysis to predictive control. Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University.

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