 |
|
|
Item Details
| Title:
|
MACHINE LEARNING CONTROL
TAMING NONLINEAR DYNAMICS AND TURBULENCE |
| Volume: |
2016 |
| By: |
Thomas Duriez, Steven L. Brunton, Bernd R. Noack |
| Format: |
Hardback |
| List price:
|
£79.99 |
| Our price: |
£67.99 |
| Discount: |
|
| You save:
|
£12.00 |
|
|
|
|
|
| ISBN 10: |
331940623X |
| ISBN 13: |
9783319406237 |
| Availability: |
Usually dispatched within 3-5 days.
 Delivery
rates
|
| Stock: |
Currently 3 available |
| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
10 October, 2016 |
| Edition: |
2017 ed. |
| Series: |
Fluid Mechanics and its Applications 116 |
| Pages: |
211 |
| Synopsis: |
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective.All chapters have exercises and supplemental videos will be available through YouTube. |
| Illustrations: |
15 black & white illustrations, 58 colour illustrations, 80 colour tables, |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |
|
|
|
 |
Ramadan and Eid al-Fitr
A celebratory, inclusive and educational exploration of Ramadan and Eid al-Fitr for both children that celebrate and children who want to understand and appreciate their peers who do.
|
|
|
|
|
|
|
|
|
|
|