Linear Motor

Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)  eBooks & eLearning

Posted by roxul at Nov. 10, 2016
Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)

Maurizio Cirrincione, Marcello Pucci, "Power Converters and AC Electrical Drives with Linear Neural Networks"
English | 2012 | ISBN-10: 1439818142 | 661 pages | PDF | 24,4 MB

Mechanism of Functional Expression of the Molecular Machines  eBooks & eLearning

Posted by arundhati at July 23, 2016
Mechanism of Functional Expression of the Molecular Machines

Masahiro Kinoshita, "Mechanism of Functional Expression of the Molecular Machines"
2016 | ISBN-10: 9811014841 | 80 pages | PDF | 3 MB
Linear Synchronous Motors: Transportation and Automation Systems, Second Edition

Jacek F. Gieras and Zbigniew J. Piech, "Linear Synchronous Motors: Transportation and Automation Systems, Second Edition"
English | ISBN: 1439842213 | 2012 | 520 pages | PDF | 22 MB

Magnetic Levitation: Maglev Technology and Applications  eBooks & eLearning

Posted by Underaglassmoon at Jan. 16, 2016
Magnetic Levitation: Maglev Technology and Applications

Magnetic Levitation: Maglev Technology and Applications
Springer | Energy Technology | February 3, 2016 | ISBN-10: 9401775222 | 247 pages | pdf | 12.67 mb

Authors: Han, Hyung-Suk, Kim, Dong-Sung
Provides a definitive and comprehensive description of the principles of magnetic levitation with corresponding applications
Describes the principles of all current and proposed Maglev types, their advantages, disadvantages and challenges to be overcome
Encourages readers to explore the innovative Maglev concept of contactless operation, and serves as a guide to help the reader develop their own magnetic levitation systems

Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)  eBooks & eLearning

Posted by roxul at April 12, 2015
Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)

Maurizio Cirrincione, Marcello Pucci, "Power Converters and AC Electrical Drives with Linear Neural Networks"
English | 2012 | ISBN-10: 1439818142 | 661 pages | PDF | 24,4 MB

Linear Electronics in Control Systems (repost)  eBooks & eLearning

Posted by fdts at July 14, 2014
Linear Electronics in Control Systems (repost)

Linear Electronics in Control Systems
by Robert C. Baker
English | 1988 | ISBN: 0943876036 | 238 pages | DJVU | 2.29 MB

Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)  eBooks & eLearning

Posted by nebulae at May 11, 2014
Power Converters and AC Electrical Drives with Linear Neural Networks (Repost)

Maurizio Cirrincione, Marcello Pucci, "Power Converters and AC Electrical Drives with Linear Neural Networks"
English | 2012 | ISBN-10: 1439818142 | 661 pages | PDF | 24,4 MB

Power Converters and AC Electrical Drives with Linear Neural Networks  eBooks & eLearning

Posted by arundhati at Sept. 30, 2013
Power Converters and AC Electrical Drives with Linear Neural Networks

Maurizio Cirrincione, Marcello Pucci, "Power Converters and AC Electrical Drives with Linear Neural Networks"
2012 | ISBN-10: 1439818142 | 661 pages | PDF | 24,4 MB

Linear Electronics in Control Systems  eBooks & eLearning

Posted by tot167 at April 29, 2010
Linear Electronics in Control Systems

Robert C. Baker, "Linear Electronics in Control Systems"
Barks Pubns | 1988 | ISBN: 0943876036 | 227 pages | Djvu | 2,4 MB

Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory  eBooks & eLearning

Posted by AvaxGenius at Aug. 22, 2017
Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory

Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory By Prof. Jianfeng Zhang
English | PDF | 2017 | 392 Pages | ISBN : 1493972545 | 4.72 MB

This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second order backward stochastic differential equations, and path dependent partial differential equations. Their main applications and numerical algorithms, as well as many exercises, are included.