Control Theory and Inverse Problems
Description
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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Content
A novel Optimization Process using Adaptive filling curves. Estimation of the age-dependent viral hepatitis A infection force.- Neural network modeling approaches for model predictive control: overview and challenges.- Characteristic Real Roots and CRRID property of time-delay systems: Recent results and prospective.- Optimal control of the Euler-Bernoulli equation: Theoretical and Numerical results.- Long-time behavior of coupled wave-beam systems: absence of exponential stability with kelvin-voigt damping.- Modelling and Control of a Rigid and Flexible Airship with Suspended Load in the XGZ plane.- Spectral description of a cell growth and division equation.- Kalman Condition For Null Controllability For Parabolic Systems With Dynamic Boundary Conditions.- Multi-Agent Reinforcement Learning for Tra c Signal Control.- Finite-time stabilization of linear systems.- Efficient processing of thermographic and ultrasonic data using topological derivative methods for nondestructive evaluation of aluminum plates.- Further Insights on the Active/Passive Postural Quiet Stance Regulation Model.