IEEE Spectrum
Multivariable System Identification for Process Control
Multivariable System Identification for Process Control
Optimal Sampled-Data Control Systems
Optimal Sampled-Data Control Systems
Time synchronization methods for wireless sensor networks: A survey
Programming and Computing Software
Networked predictive control of systems with random delay in signal transmission channels
International Journal of Systems Science - Networked Control Systems and Wireless Sensor Networks - Theories and Applications
Identification of Continuous-time Models from Sampled Data
Identification of Continuous-time Models from Sampled Data
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
System identification in a networked environment using second order statistical properties
Automatica (Journal of IFAC)
Parameter and differentiation order estimation in fractional models
Automatica (Journal of IFAC)
Hi-index | 22.15 |
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.