Bookbot

Nonlinear System Identification

From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes

Parameters

  • 1225 pages
  • 43 hours of reading

More about the book

Engineers and scientists will gain a comprehensive understanding of nonlinear system identification principles, enabling them to confidently apply the discussed models and methods to real-world problems. The book also highlights potential challenges that practitioners may encounter, ensuring a well-rounded grasp of the subject matter.

Publication

Book purchase

Nonlinear System Identification, Oliver Nelles

Language
Released
2023
product-detail.submit-box.info.binding
(Paperback)
We’ll email you as soon as we track it down.

Payment methods

No one has rated yet.Add rating