On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism

Abstract

This paper is concerned with the optimized state estimation problem for nonlinear dynamical networks subject to random coupling strength (RCS) and random sensor delays (RSDs) under the event-triggered communication criterion. Firstly, a set of random variables obeying uniform distribution over certain interval is introduced to reflect the stochasticity of the elements of coupling configuration. Furthermore, a series of Bernoulli distributed random variables is introduced to characterize the phenomenon of RSDs, where the inaccuracy of the occurrence probability is depicted. Besides, as a special communication protocol, the event-triggered communication scheme is employed to avoid the potential data collision. Subsequently, a new robust state estimation algorithm is provided for addressed nonlinear dynamical networks by fully taking the available information of RCS and RSDs into account. Moreover, a sufficient condition ensuring the boundedness of state estimation error is presented. Finally, some simulations are utilized to demonstrate the usefulness of the optimized estimation technique proposed in this paper.