Identification for automotive systems
Increasing complexity, performance and reliability expectations make effective modeling of automotive systems both more difficult and more urgent. This book contains cutting-edge research and examines the issue from both industrial and academic perspectives
Other Authors: | , , |
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Language: | English |
Published: |
London:
Springer,
c2012.
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Series: | Lecture notes in control and information sciences;
418 |
Subjects: |
Table of Contents:
- 1. Needs and chances of nonlinear identification for automotive systems
- 2. Suitable identification methods
- 3. The importance of data
- 4. Applications of identification methods of automotive systems