Abstract
This paper is concerned with the state estimation problem for delayed complex dynamic networks with non-identical local dynamical systems. The state estimation is conducted based on constrained information of the measurement outputs. Specifically, the network outputs are available only from a portion of network nodes, and such outputs are transmitted from the network nodes to the estimator in an intermittent way. By utilizing the Halanay inequality method as well as the average dwell-time approach, two sets of sufficient conditions are established that ensure the error dynamics of the state estimation to converge to zero exponentially, and explicit expressions of the estimator gains are further characterized. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed approaches.
•The state estimation problem is considered for delayed complex networks.•Partially available network measurements are used.•The network output is transmitted to the estimator in an intermittent way.•The Halanay inequality method and average dwell-time approach are used.•Explicit expressions of the estimator gains are further characterized.