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Difficulty of parameter identification for general stochastic systems is there exist both unknown noise-free outputs (i.e., true outputs) and unmeasurable noise terms in the information vector. Using the auxiliary model identification technique to establish an auxiliary model based on the measurable input-output data of the system and replacing the unknown noise-free outputs in the information vector...
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