Overview

Full Product Details

Author:   Oliver Nelles
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2nd ed. 2020
Weight:   2.280kg
ISBN:  

9783030474386

ISBN 10:   3030474380
Pages:   1225
Publication Date:   30 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Part One Optimization.- Introduction to Optimization.- Linear Optimization.- Nonlinear Local Optimization.- Nonlinear Global Optimization.- Unsupervised Learning Techniques.- Model Complexity Optimization.- Summary of Part 1.- Part Two Static Models.- Introduction to Static Models.- Linear, Polynomial, and Look-Up Table Models.- Neural Networks.- Fuzzy and Neuro-Fuzzy Models.- Local Linear Neuro-Fuzzy Models: Fundamentals.- Local Linear Neuro-Fuzzy Models: Advanced Aspects.- Input Selection for Local Model Approaches.- Gaussian Process Models (GPMs).- Summary of Part Two.- Part Three Dynamic Models.- Linear Dynamic System Identification.- Nonlinear Dynamic System Identification.- Classical Polynomial Approaches.-Dynamic Neural and Fuzzy Models.- Dynamic Local Linear Neuro-Fuzzy Models.- Neural Networks with Internal Dynamics.- Part Five Applications.- Applications of Static Models.- Applications of Dynamic Models.- Desing of Experiments.- Input Selection Applications.- Applications of Advanced Methods.- LMN Toolbox.- Vectors and Matrices.- Statistics.- Reference.- Index.

Reviews

Author Information

Oliver Nelles was born in Frankfurt (Main), Germany, and got his Master’s and Ph.D. degree in Electrical Engineering and Automatic Control at the Technical University of Darmstadt. After being a Post-Doc at the Department of Mechanical Engineering at UC Berkeley he worked for Siemens VDO Automotive in Regensburg. During his five years in Regensburg he was project and group leader in the field of transmission control. Since 2004 he assumed a position as Professor for Automatic Control – Mechatronics at the University of Siegen. Oliver Nelles’ key research areas are: machine learning, system identification, nonlinear dynamic systems & control, design of experiments (DoE), fault diagnosis.   

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions