Linear System Identification from Frequency-response Data
Author | : Mark Herman Cohen |
Publisher | : |
Total Pages | : 128 |
Release | : 1977 |
Genre | : |
ISBN | : |
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Author | : Mark Herman Cohen |
Publisher | : |
Total Pages | : 128 |
Release | : 1977 |
Genre | : |
ISBN | : |
Author | : Rik Pintelon |
Publisher | : John Wiley & Sons |
Total Pages | : 644 |
Release | : 2004-04-05 |
Genre | : Science |
ISBN | : 0471660957 |
Electrical Engineering System Identification A Frequency Domain Approach How does one model a linear dynamic system from noisy data? This book presents a general approach to this problem, with both practical examples and theoretical discussions that give the reader a sound understanding of the subject and of the pitfalls that might occur on the road from raw data to validated model. The emphasis is on robust methods that can be used with a minimum of user interaction. Readers in many fields of engineering will gain knowledge about: * Choice of experimental setup and experiment design * Automatic characterization of disturbing noise * Generation of a good plant model * Detection, qualification, and quantification of nonlinear distortions * Identification of continuous- and discrete-time models * Improved model validation tools and from the theoretical side about: * System identification * Interrelations between time- and frequency-domain approaches * Stochastic properties of the estimators * Stochastic analysis System Identification: A Frequency Domain Approach is written for practicing engineers and scientists who do not want to delve into mathematical details of proofs. Also, it is written for researchers who wish to learn more about the theoretical aspects of the proofs. Several of the introductory chapters are suitable for undergraduates. Each chapter begins with an abstract and ends with exercises, and examples are given throughout.
Author | : Rolf Isermann |
Publisher | : Springer |
Total Pages | : 705 |
Release | : 2011-04-08 |
Genre | : Technology & Engineering |
ISBN | : 9783540871552 |
Precise dynamic models of processes are required for many applications, ranging from control engineering to the natural sciences and economics. Frequently, such precise models cannot be derived using theoretical considerations alone. Therefore, they must be determined experimentally. This book treats the determination of dynamic models based on measurements taken at the process, which is known as system identification or process identification. Both offline and online methods are presented, i.e. methods that post-process the measured data as well as methods that provide models during the measurement. The book is theory-oriented and application-oriented and most methods covered have been used successfully in practical applications for many different processes. Illustrative examples in this book with real measured data range from hydraulic and electric actuators up to combustion engines. Real experimental data is also provided on the Springer webpage, allowing readers to gather their first experience with the methods presented in this book. Among others, the book covers the following subjects: determination of the non-parametric frequency response, (fast) Fourier transform, correlation analysis, parameter estimation with a focus on the method of Least Squares and modifications, identification of time-variant processes, identification in closed-loop, identification of continuous time processes, and subspace methods. Some methods for nonlinear system identification are also considered, such as the Extended Kalman filter and neural networks. The different methods are compared by using a real three-mass oscillator process, a model of a drive train. For many identification methods, hints for the practical implementation and application are provided. The book is intended to meet the needs of students and practicing engineers working in research and development, design and manufacturing.
Author | : Chung-Wen Chen |
Publisher | : |
Total Pages | : 24 |
Release | : 1992 |
Genre | : |
ISBN | : |
Author | : Gregory John Berchin |
Publisher | : |
Total Pages | : 300 |
Release | : 1988 |
Genre | : |
ISBN | : |
Author | : J. Schoukens |
Publisher | : Elsevier |
Total Pages | : 353 |
Release | : 2014-06-28 |
Genre | : Science |
ISBN | : 0080912567 |
This book concentrates on the problem of accurate modeling of linear systems. It presents a thorough description of a method of modeling a linear dynamic invariant system by its transfer function. The first two chapters provide a general introduction and review for those readers who are unfamiliar with identification theory so that they have a sufficient background knowledge for understanding the methods described later. The main body of the book looks at the basic method used by the authors to estimate the parameter of the transfer function, how it is possible to optimize the excitation signals. Further chapters extend the estimation method proposed. Applications are then discussed and the book concludes with practical guidelines which illustrate the method and offer some rules-of-thumb.
Author | : Johan Schoukens |
Publisher | : John Wiley & Sons |
Total Pages | : 285 |
Release | : 2012-04-02 |
Genre | : Technology & Engineering |
ISBN | : 1118218507 |
This book enables readers to understand system identification and linear system modeling through 100 practical exercises without requiring complex theoretical knowledge. The contents encompass state-of-the-art system identification methods, with both time and frequency domain system identification methods covered, including the pros and cons of each. Each chapter features MATLAB exercises, discussions of the exercises, accompanying MATLAB downloads, and larger projects that serve as potential assignments in this learn-by-doing resource.
Author | : Edward E. Roberts |
Publisher | : |
Total Pages | : 66 |
Release | : 1956 |
Genre | : |
ISBN | : |
Author | : National Aeronautics and Space Administration (NASA) |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 180 |
Release | : 2018-07-17 |
Genre | : |
ISBN | : 9781722898229 |
A new frequency-domain system identification algorithm is presented for system identification of substructures, such as payloads to be flown aboard the Space Shuttle. In the vibration test, all interface degrees of freedom where the substructure is connected to the carrier structure are either subjected to active excitation or are supported by a test stand with the reaction forces measured. The measured frequency-response data is used to obtain a linear, viscous-damped model with all interface-degree of freedom entries included. This model can then be used to validate analytical substructure models. This procedure makes it possible to obtain not only the fixed-interface modal data associated with a Craig-Bampton substructure model, but also the data associated with constraint modes. With this proposed algorithm, multiple-boundary-condition tests are not required, and test-stand dynamics is accounted for without requiring a separate modal test or finite element modeling of the test stand. Numerical simulations are used in examining the algorithm's ability to estimate valid reduced-order structural models. The algorithm's performance when frequency-response data covering narrow and broad frequency bandwidths is used as input is explored. Its performance when noise is added to the frequency-response data and the use of different least squares solution techniques are also examined. The identified reduced-order models are also compared for accuracy with other test-analysis models and a formulation for a Craig-Bampton test-analysis model is also presented. Blades, Eric L. and Craig, Roy R., Jr. Johnson Space Center; Marshall Space Flight Center ALGORITHMS; FREQUENCIES; SYSTEM IDENTIFICATION; PAYLOADS; SPACE SHUTTLES; EXCITATION; TEST STANDS; FREQUENCY RESPONSE; FINITE ELEMENT METHOD; BROADBAND; MATHEMATICAL MODELS; SUBSTRUCTURES; VIBRATION TESTS...
Author | : |
Publisher | : |
Total Pages | : 76 |
Release | : 1992 |
Genre | : Linear systems |
ISBN | : |