Robust parameter estimation and output prediction for reactive carrier-load nonlinear dynamic networks

Point-parametric modeling for model predictive control in dynamic networks

“…(10) The representation of inputs for the experiment design and the theorem guiding the experiment design has been presented by [2,3,6]. The experiment design process is guided by the theorem .The number of experiments, that are needed in order to solve the robust parameter estimation task is given by therefore the numerical complexity of the task scales exponentially with the length of prediction horizon.…”

“…For many large scale systems such as drinking water distribution systems; there are different operating points for which the parameter estimation can be done according to the operating point on the modelling time horizon. The structure of the point-parametric estimator is presented in [3].…”

“…An input-output relationship for dynamic networks also need to be established to achieve explicit models suitable for model predictive control. In previous works [2,3,4,6] an approach based on pointparametric model (PPM) framework was set up in order to deliver such a model of linear structure and time-varying parameters as well as the algorithms for its robust parameter estimation and in consequence robust representation of process dynamics has been presented. This paper applied the techniques given in [2,3,4] for water quality prediction modelling in drinking water distribution system (DWDS).…”