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πŸ“

Nonsmooth Impact Mechanics: Models, Dynamics and Control

✍ Scribed by Dr Bernard Brogliato (auth.)


Publisher
Springer Berlin Heidelberg
Year
1996
Tongue
English
Leaves
331
Series
Lecture Notes in Control and Information Sciences 220
Category
Library

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✦ Table of Contents


Distributional model of impacts....Pages 1-42
Approximating problems....Pages 43-62
Variational principles....Pages 63-79
Two bodies colliding....Pages 81-116
Multiconstraint nonsmooth dynamics....Pages 117-166
Generalized impacts....Pages 167-221
Stability of solutions of impacting systems....Pages 223-267
Feedback control....Pages 269-334

✦ Subjects


Control Engineering


πŸ“œ SIMILAR VOLUMES


Nonsmooth Impact Mechanics: Models, Dyna
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The field of nonsmooth impact dynamics and its applications to the control of robotic systems is examined in this monograph. The mathematical foundations of the dynamics of systems of rigid bodies submitted to a set of unilateral constraints are introduced. Following on from this the macroscopic phy

Nonsmooth Impact Mechanics: Models, Dyna
✍ Bernard Brogliato πŸ“‚ Library πŸ“… 1996 πŸ› Springer 🌐 English

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Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to issues connected with control and modelling. It covers Lagrangian and Newton–Euler systems, detailing mathematical tools such as convex analysis and com

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✍ Brogliato, Bernard πŸ“‚ Library πŸ“… 2016 πŸ› Imprint, Springer, Springer International Publishi 🌐 English

Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to control and modelling. It covers Lagrangian and Newton-Euler systems, detailing mathematical tools such as convex analysis and complementarity theory.

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✍ Bernard Brogliato (auth.) πŸ“‚ Library πŸ“… 2016 πŸ› Springer International Publishing 🌐 English

<p>Now in its third edition, this standard reference is a comprehensive treatment of nonsmooth mechanical systems refocused to give more prominence to issues connected with control and modelling. It covers Lagrangian and Newton–Euler systems, detailing mathematical tools such as convex analysis and