ABSTRACT A robust consensus Tobit Kalman filtering (RCTKF) is derived in this paper for the distributed state‐saturated system suffering from dynamic‐disturbed saturation levels and censored measurements. A dynamic‐disturbance vector is selected to modify the classical state‐saturation model for the characterization of state saturations with dynamic‐disturbed saturation levels. Then, a distributed‐fusion cost function (DFCF) is founded on the maximum correntropy criterion (MCC) to enhance the accuracy of state est…