
Non-Smooth Deterministic or Stochastic Discrete Dynamical Systems
Applications to Models with Friction or Impact
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Non-Smooth Deterministic or Stochastic Discrete Dynamical Systems
Applications to Models with Friction or Impact
About this book
This book contains theoretical and application-oriented methods to treat models of dynamical systems involving non-smooth nonlinearities.
The theoretical approach that has been retained and underlined in this work is associated with differential inclusions of mainly finite dimensional dynamical systems and the introduction of maximal monotone operators (graphs) in order to describe models of impact or friction. The authors of this book master the mathematical, numerical and modeling tools in a particular way so that they can propose all aspects of the approach, in both a deterministic and stochastic context, in order to describe real stresses exerted on physical systems. Such tools are very powerful for providing reference numerical approximations of the models. Such an approach is still not very popular nevertheless, even though it could be very useful for many models of numerous fields (e.g. mechanics, vibrations, etc.).
This book is especially suited for people both in research and industry interested in the modeling and numerical simulation of discrete mechanical systems with friction or impact phenomena occurring in the presence of classical (linear elastic) or non-classical constitutive laws (delay, memory effects, etc.). It aims to close the gap between highly specialized mathematical literature and engineering applications, as well as to also give tools in the framework of non-smooth stochastic differential systems: thus, applications involving stochastic excitations (earthquakes, road surfaces, wind models etc.) are considered.
Contents
1. Some Simple Examples.
2. Theoretical Deterministic Context.
3. Stochastic Theoretical Context.
4. Riemannian Theoretical Context.
5. Systems with Friction.
6. Impact Systems.
7. ApplicationsâExtensions.
About the Authors
JérÎme Bastien is Assistant Professor at the University Lyon 1 (Centre de recherche et d'Innovation sur le sport) in France.
Frédéric Bernardin is a Research Engineer at Département Laboratoire de Clermont-Ferrand (DLCF), Centre d'Etudes Techniques de l'Equipement (CETE), Lyon, France.
Claude-Henri Lamarque is Head of Laboratoire Géomatériaux et Génie Civil (LGCB) and Professor at Ecole des Travaux Publics de l'Etat (ENTPE), Vaulx-en-Velin, France.
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
Table of contents
- Cover
- Contents
- Dedication
- Title page
- Copyright Page
- Introduction
- Chapter 1: Some Simple Examples
- Chapter 2: Theoretical Deterministic Context
- Chapter 3: Stochastic Theoretical Context
- Chapter 4: Riemannian Theoretical Context
- Chapter 5: Systems with Friction
- Chapter 6: Impact Systems
- Chapter 7: ApplicationsâExtensions
- Appendix 1: Mathematical Reminders
- Appendix 2: Convex Functions
- Appendix 3: Proof of Theorem 2.20
- Appendix 4: Proof of Theorem 3.18
- Appendix 5: Research of Convex Potential
- Bibliography
- Index