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Identification of linear dynamic systems operating in a networked environment. (English) Zbl 1192.93123

Summary: This paper studies a networked system identification problem, which aims at identifying mathematical models required in networked control/estimation/filtering systems. Specifically, we consider the off-line identification of open-loop stable linear time-invariant processes working in a networked environment. In the networked environment, how the actuators (D/A conversion) operate plays a key role in the complexity of the related identification problems. In particular, it is reasonable to consider the configuration of event-driven actuators subject to random network-induced delays and packet dropouts; as a result, the networked identification problem is formulated as the one to identify continuous-time linear time-invariant models, based on the general non-uniformly non-synchronized sampled data. A modified version of the simplified refined instrumental variable method is proposed to solve this problem, and is validated in a networked identification experiment based on the MATLAB/SIMULINK simulator TrueTime.

MSC:

93E12 Identification in stochastic control theory
93E10 Estimation and detection in stochastic control theory
93E11 Filtering in stochastic control theory
93A15 Large-scale systems

Software:

Matlab; TrueTime; CONTSID
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References:

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