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Control Theory and Inverse Problems

The 2023 Workshop in Monastir, Tunisia

Kaïs Ammari Islam Boussaada Chaker Jammazi

$456.95   $365.52

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English
Birkhauser Verlag AG
08 November 2024
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.
Edited by:   , ,
Imprint:   Birkhauser Verlag AG
Country of Publication:   Switzerland
Edition:   2024 ed.
Dimensions:   Height: 235mm,  Width: 155mm, 
ISBN:   9783031680458
ISBN 10:   3031680456
Series:   Trends in Mathematics
Pages:   275
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
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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