An Industrial-Based Framework for Distributed Control of Heterogeneous Network Systems

In this paper, a novel control strategy for synchronization of heterogeneous network systems in industrial applications is proposed. Nonidentical nodes are adopted to describe the different industrial processes. The target trajectory is the output of an autonomous linear time-invariant system. The designed controller for each nonidentical node is distributed and calculated on the local information. Each distributed controller composes by the reference generator (RG) and the regulator (RE), where RG can copy the dynamics of the target trajectory and RE can ensure the synchronization. Limited to communication constraints, the time-varying sampled-data control strategy is utilized to reduce the updated frequency of the controller and communication burden of the network. The upper bound of the sampling instants is calculated by the theory of small gain theorem and the theory of integral quadratic constraints. Finally, a practical numerical example is presented to illustrate the effectiveness of the distributed controller design strategy.