4 edition of **Perturbation signals for system identification** found in the catalog.

- 317 Want to read
- 35 Currently reading

Published
**1993** by Prentice Hall in New York .

Written in English

- Signal processing.,
- System identification.

**Edition Notes**

Includes bibliographical references (p. 422-435) and index.

Statement | editor, Keith Godfrey. |

Series | Prentice Hall international series in acoustics, speech, and signal processing |

Contributions | Godfrey, Keith. |

Classifications | |
---|---|

LC Classifications | TK5102.5 .P47 1993 |

The Physical Object | |

Pagination | xx, 439 p. : |

Number of Pages | 439 |

ID Numbers | |

Open Library | OL1718546M |

ISBN 10 | 0136564143 |

LC Control Number | 92021240 |

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Perturbation Signals for System Identification (Prentice Hall International Series in Acoustics, Speech, and Signal Processing) [Godfrey, Keith] on *FREE* shipping on qualifying offers.

Perturbation Signals for System Identification (Prentice Hall International Series in Acoustics, Speech. Application of multi-frequency binary signals for identification of electric resistance furnaces. Dominik Sankowski, Joseph McGhee, Ian A.

Henderson, Jacek Kucharski, Piotr Urbanek. Perturbation signals for system identification. [Keith Perturbation signals for system identification book -- Collates the essentials of perturbation signal design and application for system identification, both in time domain and in the frequency domain.

Industrial Process Identification is a powerful source of information for control engineers working in the process and communications industries seeking guidance on choosing identification software tools for use in practical experiments and case studies.

The book will also be of interest to academic researchers and students working in electrical, mechanical and communications engineering and the application of perturbation signal. System identification.

Systems; Contents. Introduction to Perturbation Signals for Time-domain System Identification / Keith Godfrey 2.

Introduction to Perturbation Signals for Frequency-domain System Identification / Keith Godfrey 3. Design of Broadband Excitation Signals / Johan Schoukens, Patrick Guillaume and Rik Pintelon.

A method is developed for determining the optimal levels of multilevel perturbation signals for nonlinear system identification, using the condition number. “Practical” Identification • Given: •Want 1) a model for the plant 2) a model for the noise 3) an estimate of the accuracy • choice of the model structureFile Size: 1MB.

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Assignment 1 & Perturbation Signal Design. System Identification and Parameter Estimation. Home Courses System Identification and Parameter Estimation Subjects Assignment 1 & Perturbation Signal Design. Keywords: Linear systems; Maximum-length sequences; Multilevel signals; Perturbation signals; Pseudorandom signals; System identification.

INTRODUCTION In many identification experiments, it is required to identify the linear behaviour of a system in the presence of both nonlinear distortion and noise. For such experiments, it is therefore. Small-signal perturbation technique used for DSP-based identification of a three-phase three-level boost-type Vienna rectifier.

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One should try to decrease the power of the noise and/or increase the power of the signal. Several methods exist to boost the power of the signal and such improve the signal-to-noise ratio (SNR). Design of multilevel perturbation signals with harmonic properties suitable for nonlinear system identification Abstract: A method is described for determining the levels of multilevel pseudorandom perturbation signals generated from maximum-length sequences in Galois fields that give the signals the desirable characteristics that their even.

A survey of readily accessible perturbation signals for system identification in the frequency domain. Get this from a library. Industrial process identification: perturbation signal design and applications.

[Ai Hui Tan; Keith Richard Godfrey] -- Industrial Process Identification brings together the latest advances in perturbation signal design. It describes the approaches to the design process that are relevant to industries.

The authors'. This authoritative book, highly regarded for its intellectual quality and contributions provides a solid foundation and life-long reference for anyone studying the most important methods of modern signal and system analysis.

The major changes of the revision are reorganization of chapter material and the addition of a much wider range of difficulties.5/5(6). Perturbation signal design is analyzed for a hybrid model structure consisting of linear and neural network structures.

Input signals, designed to minimize the effects of nonlinearities during the linear model identification for the multivariable case, have been proposed and its properties have been theoretically : Pankaj S.

Kulkarni, Ravindra D. Gudi. Measures of perturbation signal quality developed for the identification of linear systems are extended to the identification of nonlinear systems. It is shown that performance depends on the nonlinear system structure, and extreme structures in the form of Wiener and Hammerstein models with quadratic nonlinearities are used for by: This manuscript provides a detailed synopsis of the contemporary advancements in the nascent area of real-time structural damage detection for vibrating systems.

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Designed for the undergraduate course on Signals and Systems, this text provides a comprehensive overview of fundamental concepts and their practical implications.

Supported by crisp and concise theory, a plethora of numerical problems and MATLAB exercises, this book helps reader learn this important subject in the easiest manner.4/5(10). A method is developed for determining the optimal levels of multilevel perturbation signals for nonlinear system identification, using condition numbers of submatrices of the Vandermonde matrix of the input levels vector.

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