Partial-Nodes-Based State Estimation for Complex Networks with Buffer Constraints

This article focuses on the ultimate boundedness estimation problem for a class of partial-node-based (PNB) complex networks (CNs) with buffer constraint. The aim of the addressed estimation problem is designing an estimator for the PNB complex network so that the estimation error system is ultimately bounded. Sufficient conditions are obtained to ensure the ultimate boundedness of the dynamics of the estimation error system. Furthermore, the ideal estimator gain is derived through solving a convex optimization problem. Finally, an illustrative example is provided to illustrate the correctness and effectiveness of the proposed estimator designing approach.