System Identification: A Frequency Domain ApproachJohn Wiley & Sons, 19 mars 2012 - 788 sidor System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and the designing of any electrical systems, they are vital in the fields of electrical, mechanical, civil, and chemical engineering. Focusing mainly on frequency domain techniques, System Identification: A Frequency Domain Approach, Second Edition also studies in detail the similarities and differences with the classical time domain approach. It high??lights many of the important steps in the identification process, points out the possible pitfalls to the reader, and illustrates the powerful tools that are available. Readers of this Second Editon will benefit from:
Unlike other books in this field, System Identification, Second Edition is ideal for practicing engineers, scientists, researchers, and both master's and PhD students in electrical, mechanical, civil, and chemical engineering. |
Innehåll
An Introduction to Identification | 1 |
Measurement of Frequency Response Functions Standard | 33 |
Frequency Response Function Measurements in the Presence | 73 |
Detection Quantification and Qualification of Nonlinear | 119 |
Design of Excitation Signals | 151 |
Models of Linear TimeInvariant Systems | 177 |
Measurement of Frequency Response Functions The Local | 225 |
An Intuitive Introduction to Frequency Domain | 279 |
Appreciation of the Facts | 509 |
Time and Frequency Domain Identification | 522 |
Guidelines for the User | 531 |
4 | 539 |
Some Linear Algebra Fundamentals | 545 |
Some Probability and Stochastic Convergence Fundamentals | 567 |
8 | 582 |
Properties of Least Squares Estimators with Deterministic | 627 |
Estimation with Known Noise Model | 285 |
4 | 337 |
Estimation with Unknown Noise Model Standard | 383 |
Model Selection and Validation | 431 |
7 | 453 |
Estimation with Unknown Noise Model The Local Polynomial | 463 |
Asymptotic Properties | 472 |
Basic Choices in System Identification | 497 |
Properties of Least Squares Estimators with Stochastic | 651 |
Identification of Semilinear Models | 665 |
Identification of Invariants of OverParameterized Models | 699 |
5 | 706 |
729 | |
739 | |
Andra upplagor - Visa alla
System Identification: A Frequency Domain Approach Rik Pintelon,Johan Schoukens Begränsad förhandsgranskning - 2012 |
System Identification: A Frequency Domain Approach Rik Pintelon,Johan Schoukens Begränsad förhandsgranskning - 2012 |
System Identification: A Frequency Domain Approach Rik Pintelon,Johan Schoukens Ingen förhandsgranskning - 2012 |