Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems
Automatica (Journal of IFAC)
Identification of linear dynamic systems operating in a networked environment
Automatica (Journal of IFAC)
ACC'09 Proceedings of the 2009 conference on American Control Conference
Adaptive control systems with network closed identification loop
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Parameter estimation with scarce measurements
Automatica (Journal of IFAC)
Hi-index | 22.14 |
System identification for networked control is considered. Due to the time-delays in the network, it can be difficult to work with a discrete-time model and a continuous-time model is therefore chosen. A covariance function based method that relies on the second order statistical properties of the output signal, where it is assumed that the input signal samples are from a discrete-time white noise sequence, is proposed for estimating the parameters. The method is easy to use since the actual time instants when new input signal levels are applied at the actuator do not have to be known. An analysis of the networked system and the effects of the time-delays is made, and the results of the analysis motivate and support the chosen approach. Numerical studies indicate that the method is robust to randomly distributed time-delays, packet drop-outs, and additive measurement noise.