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Analysis and Design of Nonlinear Systems in the Frequency Domain de Yunpeng Zhu

Analysis and Design of Nonlinear Systems in the Frequency Domain: Springer Theses

Autor Yunpeng Zhu
en Limba Engleză Paperback – 29 mar 2022
This book focuses on the development of three novel approaches to build up a framework for the frequency domain analysis and design of nonlinear systems. The concepts are derived from Volterra series representation of nonlinear systems which are described by nonlinear difference or differential equations. Occupying the middle ground between traditional linear approaches and more complex nonlinear system theories, the book will help readers to have a good start to analyse and exploit the nonlinearities.Analysis and Design of Nonlinear Systems in the Frequency Domain provides clear illustrations and examples at the beginning and the end of each chapter, respectively, making it of interest to both academics and practicing engineers.
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Specificații

ISBN-13: 9783030708351
ISBN-10: 3030708357
Ilustrații: XXI, 164 p. 61 illus., 56 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.27 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Nonlinear Systems and the Frequency Domain Representation.- Generalized Associated Linear Equations (GALEs) with Applications to Nonlinear System Analyses.- The Convergence of the Volterra Series Representation of Nonlinear Systems.- The Effects of Both Linear and Nonlinear Characteristic Parameters on the Output Response of Nonlinear Systems.- Nonlinear Damping Based Semi-Active Building Isolation System.- Conclusions.

Notă biografică

Dr. Yunpeng Zhu received his B.S. and M.S. degrees in Mechanical Engineering and Automation in 2013 and 2015, respectively, from Northeastern University, China. In 2020, he received a PhD in Automatic Control and Systems Engineering, which was fully supported by a scholarship of the Faculty of Engineering at Sheffield University. He is currently a Research Associate working on a £1.6 million UK EPSRC project led by Prof Z Q Lang, at the University of Sheffield and involving 3 other UK universities and 6 industry partners.In the 2017 IET PhD student poster competition, he was awarded the runner up prize. In 2019, he was awarded the Chinese Government Award for Outstanding Self-Financed Students Abroad. Only 500 PhD students were awarded the Award all over the word in that year. He was also the winner of the Best Student Paper Prize in 2019 1st International Conference on Industrial Artificial Intelligence. From 2013 to 2020, he has published over 30 international journal papers and 10 conference papers, including some very top journals in the subject area of systems and control including Automatica and IEEE Transactions on Control Systems Technology. He has acted as a referee for over 10 high quality journals including Automatica, IEEE transactions on Automatic Control, IEEE transactions on Mechatronics, Mechanical Systems and Signal Processing, and Nonlinear Dynamics.

Textul de pe ultima copertă

This book focuses on the development of three novel approaches to build up a framework for the frequency domain analysis and design of nonlinear systems. The concepts are derived from Volterra series representation of nonlinear systems which are described by nonlinear difference or differential equations. Occupying the middle ground between traditional linear approaches and more complex nonlinear system theories, the book will help readers to have a good start to analyse and exploit the nonlinearities.Analysis and Design of Nonlinear Systems in the Frequency Domain provides clear illustrations and examples at the beginning and the end of each chapter, respectively, making it of interest to both academics and practicing engineers.

Caracteristici

Discusses frequency domain analysis and design of nonlinear systems from an application perspective Offers a unique framework for design and analysis of nonlinear systems represented by nonlinear difference of differential equation models Provides six case studies and examples demonstrating the practical applications of the methods