  This work examines a set of features that impact the reliability of linear
models within the context of plant-wide control design (PWC). The study case is
the Tennessee-Eastman (TE) plant. This benchmark problem is well-known for
challenging many control design approaches. Analyses involve eigenvalues,
average errors between simulations, condition numbers, and loss of rank across
frequencies. These studies offer guidance for designing an effective plant-wide
control system based on linear models.
