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<p class="MsoNormal">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 &amp; Inverse Problems” held in Monastir, Tunisia in May 2024. In addition to providing a snapshot of these two areas, chapters also highlight breakthroughs on more specific topics, such as:</p><ul style="margin-top: 0in;" type="disc"><li class="MsoNormal" style="mso-list: l0 level1 lfo1; tab-stops: list .5in;">Neural network modeling</li><li class="MsoNormal" style="mso-list: l0 level1 lfo1; tab-stops: list .5in;">Optimal control of the Euler-Bernoulli equation</li><li class="MsoNormal" style="mso-list: l0 level1 lfo1; tab-stops: list .5in;">Traffic signal control</li><li class="MsoNormal" style="mso-list: l0 level1 lfo1; tab-stops: list .5in;">Spectral description of a cell growth and division equation</li></ul><p class="MsoNormal"><em>Control Theory and Inverse Problems</em> will be a valuable resource for both established researchers as well as more junior members of the community.</p>

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Control Theory and Inverse Problems

  • 会议论文集

  • 发表日期：

    2026年

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摘要

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 2024. In addition to providing a snapshot of these two areas, chapters also highlight breakthroughs on more specific topics, such as:

  • Neural network modeling
  • Optimal control of the Euler-Bernoulli equation
  • Traffic signal control
  • Spectral description of a cell growth and division equation

Control Theory and Inverse Problems will be a valuable resource for both established researchers as well as more junior members of the community.