Control Theory and Inverse Problems: The 2024 Workshop in Monastir, Tunisia
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tab-stops: list .5in;">Neural network modeling Optimal control of the Euler-Bernoulli equation Traffic signal control 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. 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.
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tab-stops: list .5in;">Neural network modeling Optimal control of the Euler-Bernoulli equation Traffic signal control 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. 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.
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