Nonlinear System Identification
Oliver Nelles
Springer Nature Switzerland AG, 2022
124,75 €On orderDelivery: 2-3 weeks
This book provides engineers and scientists in academia and industry with a thorough understanding of the underlying principles of nonlinear system identification. 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.
- ISBN-13
- 9783030474386
- ISBN-10
- 3030474380
- Publisher
- Springer Nature Switzerland AG
- Year
- 2022
- Publication date
- 2022-09-30
- Pages
- 1225
- Dimensions
- 163x242x51
- Weight
- 2484