Sampled-Data Control of Network Systems in Industrial Manufacturing

In this paper, the intelligent devices in industrial manufacture are modeled as the nodes in the network systems. The sampled-data control is adopted to guarantee the synchronization of the network systems. The proposed sampled-data control strategy can reduce the updating frequency of the controller and the network communication burden. The closed-loop system is equivalently rewritten as the feedback interaction of a linear time-invariant system (LTI) and a time-delay operator. The small gain theorem (SGT) is utilized to calculate the upper bound of the sampling intervals. Furthermore, the integral quadratic constraints (IQC) can provide the passivity-type property of the operator and give the less conservative results. Moreover, in order to further use the information about the sampling pattern and sawtooth structure, the time-delay integral operator is replaced by sample-data integral operator. And the less conservative results are proposed. Finally, the effectiveness of the proposed sampled-data distributed control strategy is demonstrated by a numerical example.