Johannes D. Stigter

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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)
In this paper the well-known problem of optimal input design is considered. In particular, the focus is on input design for the estimation of kinetic parameters in bioreactors. The problem is formulated as follows: given the model structure (f,g), which is assumed to be affine in the input, and the specific parameter of interest theta;(k) find a feedback(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)
Recursive state and parameter reconstruction is a well-established field in control theory. In the current paper we derive a continuous-discrete version of recursive prediction error algorithm and apply the filter in an environmental and biological setting as a possible alternative to the well-known extended Kalman filter. The framework from which the(More)