Geometric and Numerical Optimal Control: Application to Swimming at Low Reynolds Number and Magnetic Resonance Imaging (SpringerBriefs in Mathematics)
Language: English
Published by Springer, 2018
- Softcover
- New
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- Title
- Geometric and Numerical Optimal Control: Application to Swimming at Low Reynolds Number and Magnetic Resonance Imaging (SpringerBriefs in Mathematics)
- Author
- Bonnard, Bernard; Chyba, Monique; Rouot, Jérémy
- Publisher
- Springer
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3319947907
- ISBN 13
- 9783319947907
- Series
- Book 113 of 155: SpringerBriefs in Mathematics
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About the Author
Dr. Bernard Bonnard received his Ph.D in Mathematics from Metz University (France) in 1978 and his Thèse d’Etat degree from Grenoble, France in 1983. He is currently a Professor of Mathematics at the Engineering school Esirem in Dijon, France and member of the INRIA team Mc Tao, Sophia Antipolis. His main research interest is the development of computational techniques in optimal control with applications in space and quantum mechanics.
Dr. Monique Chyba received her Ph.D. in Mathematics from Geneva University (Geneva, Switzerland) in 1997. She is currently a Professor at the department of Mathematics at the University of Hawaii-Manoa, USA. Her main research interest is the development of geometric methods to solve optimal control problems with her central objective being to understand the role of singular extremals in optimal strategies for nonlinear control systems. Her latest work deals with biological applications such as efficient swimming at low Reynolds number and morphogenesis.
Dr. Jérémy Rouot received his Ph.D. in Applied Mathematics from Nice Sophia Antipolis University (France) in 2016. He is currently a lecturer and researcher at the EPF Graduate School of Engineering in Troyes, France. His research focuses on geometric and numerical methods to solve optimal control problems arising from orbital transfer in spatial mechanics, swimming problem at low Reynolds number, nuclear magnetic resonance and biomechanical models.
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Ria Christie Collections
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