Control Theory and Inverse Problems

Beschreibung

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.

Autor*in

Kaïs Ammari

Themen in »Control Theory and Inverse Problems«

Mathematical control theory Inverse problems Partial Differential equations Neural network modeling Euler-Bernoulli equation Model predictive control Time-delay systems Cell growth and division equation Kalman condition Reinforcement learning Thermographic data Ultrasonic data

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