Optimal parametric sensitivity control for a fed-batch reactor

The paper presents a method to derive an optimal parametric sensitivity controller for optimal estimation of a set of parameters in an experiment. The method is demonstrated for a fed batch bio-reactor case study for optimal estimation of the saturation constant Ks and, albeit intuitively, the parameter combination "mu-max X/Y" where mu-max is the maximum growth rate [g/min], Y is the yield coefficient [g/g], and X is the (constant) biomass [g]