Recursive Estimation for Saturated Complex Networks with Random Coupling Strength Under Weighted Try-Once-Discard Protocol

In this paper, the recursive state estimation problem is discussed for a class of nonlinear complex networks with random coupling strength (RCS) and random sensor saturation (RSS) under weighted try-once-discard protocols. The coupling strength between nodes follows a uniform distribution, and the random saturation phenomenon of sensors is described by a set of Bernoulli distribution variebles. The main purpose of this paper is to design an estimator that guarantees that the covariance of the estimation error has an upper bound when the RCS and RSS exist simultaneously, and this upper bound is minimized at each time instant. Finally, a simulation example is provided to prove the effectiveness of the proposed recursive state estimation scheme.