system identification
2016-08-23
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System identification enables us to build a dynamic system. Based on the measured data, we can adjust the model given by parameters within until the output is smooth and the output is as consistent as possible. System identification is the mathematical model of art and science architecture of dynamic system from observed input and output data [4]. The purpose of system identification is multiple. For example, weather forecasting, which explains the relationship between the interaction of model-based system controller design and the input and output of the system, is very fast. System identification is an important step of procedure parameter estimation. When the input is applied to the two system models, the difference between the output target botanical garden and the difference between the model's output used to update the parameter vector to reducethis in an appropriate way. After this iteration process can be carried out, if the system is designed correctly, the adaptive filter's stransfer function will aggregate, or approach, the unknown time-domain transfer function of the system. &For this configuration, the error signal does not go to zero, although converging to zero is radon case, can get close to a given system.
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