Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion

A Parametric Characteristic Approach

Nonfiction, Science & Nature, Science, Physics, Chaotic Behavior, Technology, Reference & Language, Reference
Cover of the book Frequency Domain Analysis and Design of Nonlinear Systems based on Volterra Series Expansion by Xingjian Jing, Ziqiang Lang, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Xingjian Jing, Ziqiang Lang ISBN: 9783319123912
Publisher: Springer International Publishing Publication: February 17, 2015
Imprint: Springer Language: English
Author: Xingjian Jing, Ziqiang Lang
ISBN: 9783319123912
Publisher: Springer International Publishing
Publication: February 17, 2015
Imprint: Springer
Language: English

This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years. The main results are formulated uniformly with a parametric characteristic approach, which provides a convenient and novel insight into nonlinear influence on system output response in terms of characteristic parameters and thus facilitate nonlinear analysis and design in the frequency domain.  The book starts with a brief introduction to the background of nonlinear analysis in the frequency domain, followed by recursive algorithms for computation of GFRFs for different parametric models, and nonlinear output frequency properties. Thereafter the parametric characteristic analysis method is introduced, which leads to the new understanding and formulation of the GFRFs, and nonlinear characteristic output spectrum (nCOS) and the nCOS based analysis and design method. Based on the parametric characteristic approach, nonlinear influence in the frequency domain can be investigated with a novel insight, i.e., alternating series, which is followed by some application results in vibration control. Magnitude bounds of frequency response functions of nonlinear systems can also be studied with a parametric characteristic approach, which result in novel parametric convergence criteria for any given parametric nonlinear model whose input-output relationship allows a convergent Volterra series expansion. This book targets those readers who are working in the areas related to nonlinear analysis and design, nonlinear signal processing, nonlinear system identification, nonlinear vibration control, and so on. It particularly serves as a good reference for those who are studying frequency domain methods for nonlinear systems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book is a systematic summary of some new advances in the area of nonlinear analysis and design in the frequency domain, focusing on the application oriented theory and methods based on the GFRF concept, which is mainly done by the author in the past 8 years. The main results are formulated uniformly with a parametric characteristic approach, which provides a convenient and novel insight into nonlinear influence on system output response in terms of characteristic parameters and thus facilitate nonlinear analysis and design in the frequency domain.  The book starts with a brief introduction to the background of nonlinear analysis in the frequency domain, followed by recursive algorithms for computation of GFRFs for different parametric models, and nonlinear output frequency properties. Thereafter the parametric characteristic analysis method is introduced, which leads to the new understanding and formulation of the GFRFs, and nonlinear characteristic output spectrum (nCOS) and the nCOS based analysis and design method. Based on the parametric characteristic approach, nonlinear influence in the frequency domain can be investigated with a novel insight, i.e., alternating series, which is followed by some application results in vibration control. Magnitude bounds of frequency response functions of nonlinear systems can also be studied with a parametric characteristic approach, which result in novel parametric convergence criteria for any given parametric nonlinear model whose input-output relationship allows a convergent Volterra series expansion. This book targets those readers who are working in the areas related to nonlinear analysis and design, nonlinear signal processing, nonlinear system identification, nonlinear vibration control, and so on. It particularly serves as a good reference for those who are studying frequency domain methods for nonlinear systems.

More books from Springer International Publishing

Cover of the book Shiga toxins by Xingjian Jing, Ziqiang Lang
Cover of the book Biology of Microfungi by Xingjian Jing, Ziqiang Lang
Cover of the book The Evolution and Significance of the Cuban Revolution by Xingjian Jing, Ziqiang Lang
Cover of the book From Corruption to Modernity by Xingjian Jing, Ziqiang Lang
Cover of the book Machine Learning for Networking by Xingjian Jing, Ziqiang Lang
Cover of the book Natural Language Understanding and Intelligent Applications by Xingjian Jing, Ziqiang Lang
Cover of the book Queen Caroline and Sir William Gell by Xingjian Jing, Ziqiang Lang
Cover of the book Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry by Xingjian Jing, Ziqiang Lang
Cover of the book Mathematics as a Tool by Xingjian Jing, Ziqiang Lang
Cover of the book Intelligent Computing Theories and Application by Xingjian Jing, Ziqiang Lang
Cover of the book Sensors for Everyday Life by Xingjian Jing, Ziqiang Lang
Cover of the book Potential-Based Analysis of Social, Communication, and Distributed Networks by Xingjian Jing, Ziqiang Lang
Cover of the book Piezo-Active Composites by Xingjian Jing, Ziqiang Lang
Cover of the book The Innovators Behind Leonardo by Xingjian Jing, Ziqiang Lang
Cover of the book Trace Metal Biogeochemistry and Ecology of Deep-Sea Hydrothermal Vent Systems by Xingjian Jing, Ziqiang Lang
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy