Partial-Nodes-Based State Estimation for Nonlinear Coupled Complex Networks: An Exponential Event-Triggered Approach

In this paper, the partial-nodes-based (PNB) state estimation issue is addressed for a class of complex networks subject to nonlinear coupling among different nodes. The exponential event-triggered approach with variable triggered threshold is used to further mitigate the transmission burden and save network resource. The designed PNB estimator can estimate the internal states of all nodes by resorting to partial nodes with available measurements. Encouraged by non-augmented method, the gain matrix of each node can ensure that the upper bound of the estimation error covariance is minimized in mean-square sense. Finally, a numerical example shows the effectiveness of the proposed distributed estimation algorithm.