Learn More
The problem of optimal input design for a specific fedbatch bioreactor case study is solved recursively. Hereto an adap-tive receding horizon optimal control problem, involving the so-called E-criterion, is solved 'on-line', using the current estimate of the parameter vector θ at each sample instant {t k , k = 0,. .. , N − h}, where N marks the end of the(More)
Ammonia (NH 3) emission can cause acidification and eutrophication of the environment, is an indirect source of nitrous oxide, and is a precursor of fine dust. The current mechanistic NH 3 emission base model for explaining and predicting NH 3 emissions from dairy cow houses with cubicles, a floor and slurry pit is based on measured data from a limited(More)
The paper presents a method to derive an optimal paramet-ric 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 ¡ £ ¢ and, albeit intuitively, the parameter combination ¤ ¦ ¥ ¨ § © where is the maximum(More)
Current research in network reverse engineering for genetic or metabolic networks very often does not include a proper experimental and/or input design. In this paper we address this issue in more detail and suggest a method that includes an iterative design of experiments based, on the most recent data that become available. The presented approach allows a(More)
Singular and non-singular control trajectories of agricultural and (bio) chemical processes may need to be recalculated from time to time for use in closed-loop optimal control, because of unforeseen changes in state values and noise. This is time consuming. As an alternative, in this paper, numerical, nonlinear, static state feedback laws are developed for(More)
  • 1