System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
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An indentification method for parameters of discrete-time dynamic system is proposed, based on generalized adjustable object of measurement (GAOM). An analysis to compare the efficiency of genetic and search algorithms is performed, with the intention to evaluate a certain parameter of the state filter. This algorithm is applied to identify the parameters of the system, that describes the interaction between injecting and producing wells.