Consensus-based distributed estimators in sensor networks with sampled information and intermittent communication links

For a class of continuous-time delayed nonlinear systems over sensor networks with intermittent communication links, a consensus-based sampled-data state estimation technique is considered. When the communication links work well, the structure of the estimator in a sensor node is composed of a local sampled-data state estimator and consensus terms. A switched system model is presented to describe the state estimators. It is validated that the obtained estimators achieve exponential state estimation. The result is illustrated via numerical simulations.