Product optimization and control in the latent variable space of nonlinear PLS models

Process optimization is usually performed on causal models built from fundamentals or from designed experiments that relate the independent effects of all the adjustable process variables to all the response variables of interest. However, in many complex processes, there exist a very large number of adjustable (manipulated) variables, and these variables are often highly correlated through process or operational constraints (e.g. temperature …