Overview

This volume presents a timely overview of control theory and inverse problems, and highlights recent advances in these active research areas. The chapters are based on talks given at the spring school ""Control Theory & Inverse Problems” held in Monastir, Tunisia in May 2023. In addition to providing a snapshot of these two areas, chapters also highlight breakthroughs on more specific topics, such as: Control of hyperbolic systems The Helffer-Nier Conjecture Rapid stabilization of the discretized Vlasov system Exponential stability of a delayed thermoelastic system Control Theory and Inverse Problems will be a valuable resource for both established researchers as well as more junior members of the community.

Full Product Details

Author:   Kaïs Ammari ,  Islam Boussaada ,  Chaker Jammazi
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
Edition:   2024 ed.
ISBN:  

9783031680458

ISBN 10:   3031680456
Pages:   275
Publication Date:   08 November 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Generalized oscillatory space in time scales and applications.- Some insights on the practical control of hyperbolic systems.- Observers for data assimilation and parameter estimation.- On the path to deciphering the helffer-nier conjecture.- Geometric inverse problem for the navier-stokes equations.- An inverse problem for the wave equation in anisotropic media.- Stability estimates for initial data in general ornstein-uhlenbeck equations.- A note on the fast stabilization of controlled discretized vlasov-poisson system.- Mathematical control of the salwater intrusion in coastal aquifers.- Some insights into partial pole placement method in observers design for time-delay systems.- On exponential stability of a delayed thermoelastic system.- Design of quasipolynomial-based controllers with dynamical parameters application to active vibration damping.- Optimization of rate of penetration through regression model.

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