100% PP 100% PP
   4,478.00 + FREE Delivery
  • M.R.P.:    7,999.00
  • You Save:    3,521.00 (44%)
  • Inclusive of all taxes

Pay on Delivery (Cash/Card) eligible
What is this?
What is Pay on Delivery (Cash/Card)?
Pay on Delivery (Cash/Card) payment method includes Cash on Delivery (COD) as well as Debit card / Credit card / Net banking payments at your doorstep.
Details
Sold by STM Traders Pvt. Ltd. (4.3 out of 5 stars | 238 ratings).
Other Sellers on Amazon
Add to Cart
   4,500.00
+ FREE Delivery
Sold by: RRR SALES
Add to Cart
   4,832.00
+ FREE Delivery
Sold by: Book eHub
Add to Cart
   5,386.00
   105.72 Delivery charge
Sold by: Bookswagon
List & Earn Rs.250* extra. Available in Bangalore, Mumbai, Chennai, Hyderabad. Sell on Local Finds.
Flip to back Flip to front
Listen Playing... Paused   You're listening to a sample of the Audible audio edition.
Learn more.
See this image

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence (Fluid Mechanics and Its Applications) Hardcover – 15 Nov 2016


See all 3 formats and editions Hide other formats and editions
Price
New from
Hardcover
   4,478.00
   4,478.00
EMI starts at ₹211 per month. EMI starts at ₹211. No Cost EMI available Options
EMI (Easy Installments)
  • Pay for your order in equal monthly installments (EMI), using any one of the payment options in the table below.
  • Your bank will convert the payment done using credit or debit cards into EMI in 3-4 working days.
  • For payments done using credit and debit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of your order. Your card will be charged for the item price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the item. The bank will charge GST on the interest amount. For payments done using Amazon Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,493

NoCost*

₹4,478

6

₹746

NoCost*

₹4,478

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,538

18.0%

₹4,613

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,523

12.0%

₹4,568

6

₹773

12.0%

₹4,636

9

₹523

12.0%

₹4,705

12

₹398

12.0%

₹4,774

18

₹273

12.0%

₹4,915

24

₹211

12.0%

₹5,059

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,523

12.0%

₹4,568

6

₹773

12.0%

₹4,636

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹529

15.0%

₹4,763

12

₹404

15.0%

₹4,850

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹527

14.0%

₹4,743

12

₹402

14.0%

₹4,825

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,524

12.5%

₹4,572

6

₹774

12.5%

₹4,643

9

₹526

13.5%

₹4,734

12

₹401

13.5%

₹4,812

18

₹276

13.5%

₹4,972

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,523

12.0%

₹4,568

6

₹773

12.0%

₹4,636

9

₹527

14.0%

₹4,743

12

₹402

14.0%

₹4,825

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹275

13.0%

₹4,953

24

₹213

13.0%

₹5,109

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,528

14.0%

₹4,583

6

₹777

14.0%

₹4,663

9

₹527

14.0%

₹4,743

12

₹402

14.0%

₹4,825

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,525

13.0%

₹4,575

6

₹775

13.0%

₹4,649

9

₹527

14.0%

₹4,743

12

₹402

14.0%

₹4,825

18

₹279

15.0%

₹5,028

24

₹217

15.0%

₹5,211

Plan

(months)

EMI

(payable to provider)

Annual Interest

(charged by provider)

Total Cost

(payable to provider)

3

₹1,523

12.0%

₹4,568

6

₹773

12.0%

₹4,636

9

₹525

13.0%

₹4,724

12

₹400

13.0%

₹4,800

18

₹277

14.0%

₹4,991

24

₹217

15.0%

₹5,211

About *NoCost: For payments done using credit and debit cards, the bank will continue to charge interest on EMI as per existing rates. However, the interest to be charged by the bank will be passed on to you as an upfront discount.
Good to know
  • Total Cost shown above does not include shipping charges.
  • EMI providers may charge you pre-closure or other charges when you cancel/return an EMI order.
  • Click here to read EMI FAQs. To know more about other products - Amazon Pay EMI ; Debit Card EMI
click to open popover

Save Extra with 3 offers

  • No Cost EMI: No Cost EMI available on Amazon Pay ICICI credit cards on orders above Rs. 3000 Here's how
  • Bank Offer: 5% Instant Discount on ICICI bank Credit and Debit EMI transactions Here's how
  • Cashback (2): Get 10% cashback up to Rs. 100 using Visa Signature or Visa Infinite cards. Shop during the Visa Shopping Days starting 20th to end of every month. Applicable on shopping, recharges and bill payments. Cashback within 3 days from shipment. Here's how
  • Get 25% back up to Rs. 50 back on your first order using Amazon Pay UPI. Cashback within 10 days. Link Bank Account Here's how

Product description

From the Back Cover

This is the first book 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.  

About the Author

Thomas Duriez is a tenured French researcher at CONICET, Buenos Aires, Argentina. He works on experimental, numerical and theoretical aspects of fluid mechanics focusing on flow control. He is part of the pioneer team developing Machine Learning Control for laminar and turbulent flows. He studied at ESPCI-ParisTech, the Paul Sabatier University and IMFT (Toulouse). After his PhD thesis at PMMH (Paris) on the control of separated flows, he had several postdoctoral appointments in academia and industry, including PMMH (Paris),  LFD, LIMSI (Orsay, France) and PPRIME Institute (Poitiers, France) as part of the TUCOROM team. In Poitiers, he developed Machine Learning Control under the leadership of Bernd Noack.


Steven L. Brunton is an Assistant Professor in Mechanical Engineering and an Adjunct Assistant Professor in Applied Mathematics at the University of Washington in Seattle. He graduated with a B.S. in Mathematics from the California Institute of Technology and received his PhD in Mechanical and Aerospace Engineering from Princeton University. Currently, his research interests include data-driven modeling and control of complex dynamical systems using machine learning, compressed sensing, uncertainty quantification, and equation-free modeling; Flow control of unsteady aerodynamics, transport phenomena, and turbulent mixing enhancement; Adaptive and robust control techniques for energy optimization and conversion.  He is a Data Science Fellow with the eScience Institute at UW. 


Bernd R. Noack is Director of Research CNRS at LIMSI-CNRS, Paris-Saclay, and Professor and Chair of 'Flow Modeling and Control' at TU Braunschweig, Germany. Prof. Noack develops closed-loop flow control solutions for cars, airplanes and transport systems in an interdisciplinary effort with an international network of leading researchers. He received a degree as diplom physicist and his physics doctorate from the Georg-August-University Göttingen in 1989 and 1992, respectively. Positions followed at the Max-Planck-Institut für Strömungsforschung, Göttingen, the German Aerospace Center, Göttingen, the Göttingen University, the United Technologies Research Center (East Hartford, CT, USA) and the Berlin Institute of Technology, where he was Professor and Chair of 'Reduced-Order Modeling for Flow Control'. In 2009 he joined the Institute PPRIME, Poitiers, France as Director of Research CNRS. He also became Head of the Senior ANR Chair of Excellence ''Closed-Loop Control of Turbulent Shear Flows using Reduced-Order Models (TUCOROM)''. His work on turbulence  control was honored by national and international awards, including a Fellowship of the American Physical Society.   

  

Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone

To get the free app, enter mobile phone number.

kcpAppSendButton


Product details

  • Hardcover: 211 pages
  • Publisher: Springer; 1st ed. 2017 edition (15 November 2016)
  • Language: English
  • ISBN-10: 9783319406237
  • ISBN-13: 978-3319406237
  • ASIN: 331940623X
  • Product Dimensions: 15.9 x 1.9 x 24.1 cm
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #14,74,214 in Books (See Top 100 in Books)
  • Would you like to tell us about a lower price?
    If you are a seller for this product, would you like to suggest updates through seller support?


No customer reviews


Review this product

Share your thoughts with other customers