Introduction To Lagrangian Dynamics

Author:   Aron Wolf Pila
Publisher:   Springer Nature Switzerland AG
Edition:   2020 ed.
ISBN:  

9783030223809


Pages:   255
Publication Date:   16 August 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Introduction To Lagrangian Dynamics


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Full Product Details

Author:   Aron Wolf Pila
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   2020 ed.
Weight:   0.507kg
ISBN:  

9783030223809


ISBN 10:   3030223809
Pages:   255
Publication Date:   16 August 2020
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Reviews

The book is well written and structured, it contains many very well done graphics, thus bringing value in this field. (Liviu Popescu, zbMATH 1475.70001, 2022)


“The book is well written and structured, it contains many very well done graphics, thus bringing value in this field.” (Liviu Popescu, zbMATH 1475.70001, 2022)


Author Information

Aron Wolf Pila is a retired electrical engineer most recently associated with the Israel Military Industries, Central Laboratory Division, Computational Mechanics and Simulation Group with over thirty one years of experience in simulations , modelling and control of mechanical and aerospace systems. A graduate with distinction of Concordia University in Montreal, Aron was awarded a National Research Council of Canada Scholarship for Academic Excellence and completed a Masters of Engineering degree at Concordia, specializing in Control System Design. He has written over twenty conference and journal publications chiefly in the area of H∞ control system design. He has also edited three books viz.: “Quantitative Feedback Design of Linear and Nonlinear Control Systems”, “Advances in Missile Guidance Theory” and “Optimal Control Theory with Aerospace Applications”.

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