Modeling, Identification and Control of Biological Systems

Dear Colleagues,

Applied mathematics enables the transformation of available real-world data and observations into mathematical structures and theoretical concepts. The obtained mathematical models are powerful investigation instruments for exploring the underlying principles of real systems and for tackling open problems in the natural sciences, particularly in physics, biology, and medicine. These models are valuable descriptive tools that shed light on the inner mechanisms of intricate biological systems. They also offer reliable predictions about the future behavior of the real systems and their responses to various external stimuli. Additionally, the control theory equips researchers with the essential tools to design effective, sometimes optimal, inputs for managing the behavior of these models. This aspect allows scientists to support decision-makers in devising intervention strategies for the management of emergencies in public health and for the treatment of pathological conditions in medicine.

The increasing volume of scholarly articles on mathematical modeling and control in biology serves as strong evidence of the growing influence of this research field on biomedicine and public health. This Special Issue is dedicated to gathering innovative contributions from experienced researchers in the realm of mathematical modeling and control theory as applied to biology and medicine. We welcome original research papers and reviews.

Dr. Alessandro Borri
Dr. Federico Papa
Guest Editors

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