Robust State Estimation for State-Saturated Complex Networks with Communication Protocol Schedule

In this paper, we discuss the variance- constrained robust state estimation problem for a class of state-saturated complex networks (CNs) subject to randomly occurring uncertainties (ROUs), stochastic coupling and Random Access Protocol (RAP). The RAP as a scheduling mode is employed to regulate the transmission sequences among the network nodes. The ROUs and stochastic coupling are both described by Bernoulli random variables with uncertain occurrence probabilities. This paper attempts to provide a variance-constrained robust state estimation method for CNs such that, for all ROUs, stochastic coupling as well as RAP, an upper bound of estimation error covariance is derived by means of designing the estimator gain in a proper way. Furthermore, a sufficient condition is established to ensure that the trace of such upper bound is uniformly bounded. Finally, a numerical simulation is provided to verify the effectiveness of the presented variance-constrained robust state estimation strategy.