Modeling of dynamic systems using latent variable and subspace methods

Dynamic models that capture the transient behavior of a process are often needed in a variety of industrial problems. In system identification, causal dynamic models between a small to medium number of manipulated variables and controlled variables are obtained from designed experiments for use in control system design. In multivariate statistical process control, using autocorrelated data, non‐causal dynamic models on large numbers of measured …