Minimum relevant variables in linear system

In the context of linear systems, particularly in control theory and system identification, the term "minimum relevant variables" typically refers to the smallest set of variables needed to adequately describe the behavior of the system based on its inputs and outputs. This concept is crucial for simplifying models, enhancing interpretability, and reducing computational complexity.