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E-raamat: Control Theory and Inverse Problems: The 2023 Workshop in Monastir, Tunisia

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  • Formaat: PDF+DRM
  • Sari: Trends in Mathematics
  • Ilmumisaeg: 07-Nov-2024
  • Kirjastus: Birkhauser Verlag AG
  • Keel: eng
  • ISBN-13: 9783031680465
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Sari: Trends in Mathematics
  • Ilmumisaeg: 07-Nov-2024
  • Kirjastus: Birkhauser Verlag AG
  • Keel: eng
  • ISBN-13: 9783031680465

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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.
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.