Abstract:Depending on the problem statement and av ailable information on the system structure and order, three classes of models are discussed: a linear model of state variables with unknown disturbance, a model in input-output variables, and a neural network model that describes nonlinear objects. To estimate the state and to identify the models, intelligent computations are applied: non-static uncertainty is described using fuzzy sets, and genetic algorithms are used for the structural-parametric identification of i… Show more
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