Title Nonlinear System Identification : From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes Author(s) Nelles, Oliver Publication Cham, Springer International Publishing, 2020. Description X, 1203 p. 670 illus., 179 illus. in color : online resource Abstract Note This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. It equips them to apply the models and methods discussed to real problems with confidence, while also making them aware of potential difficulties that may arise in practice. Moreover, the book is self-contained, requiring only a basic grasp of matrix algebra, signals and systems, and statistics. Accordingly, it can also serve as an introduction to linear system identification, and provides a practical overview of the major optimization methods used in engineering. The focus is on gaining an intuitive understanding of the subject and the practical application of the techniques discussed. The book is not written in a theorem/proof style; instead, the mathematics is kept to a minimum, and the ideas covered are illustrated with numerous figures, examples, and real-world applications. In the past, nonlinear system identification was a field characterized by a variety of ad-hoc approaches, each applicable only to a very limited class of systems. With the advent of neural networks, fuzzy models, Gaussian process models, and modern structure optimization techniques, a much broader class of systems can now be handled. Although one major aspect of nonlinear systems is that virtually every one is unique, tools have since been developed that allow each approach to be applied to a wide variety of systems. ISBN,Price 9783030474393 Keyword(s) 1. Applications of Nonlinear Dynamics and Chaos Theory 2. CALCULUS OF VARIATIONS 3. Calculus of Variations and Optimal Control; Optimization 4. COMPLEXITY 5. COMPUTATIONAL COMPLEXITY 6. COMPUTER SIMULATION 7. Control and Systems Theory 8. Control engineering 9. Control, Robotics, Mechatronics 10. EBOOK 11. EBOOK - SPRINGER 12. Mechatronics 13. ROBOTICS 14. Simulation and Modeling 15. STATISTICAL PHYSICS Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I09519     On Shelf