… , the protocol-based Tobit Kalman filtering paradigm proposed in Theorems 1–2 is stochastic
due to its dependence on the random … presence of the RRP and measurement uncertainties …

… that utilizes a communication protocol-based distributed unscented Kalman filter (UKF) to …
presence of noise, the uncertainty of unknown CPLs, and neutralizing the effect of the attack. …

… Furthermore, the impact of the uncertain size of unknown … nonlinear systems, Kalman filter,
as well as sensor networks. … interests include nonlinear stochastic control and filtering, as well …

… stochastic nonlinear system under the RAP was performed in [15]. Under the scheduling of
the RRP and the WTODP, unscented Kalman filter … standard Kalman filter, since the existence …

… Unscented Kalman filtering (UKF) for a general nonlinear system with … Wei, “Protocol-based
unscented Kalman filtering in the presence of stochastic uncertainties,” IEEE Trans. Autom. …

… systems with stochastic uncertainties, where two resource-saving unscented Kalman
filters have been developed. … Protocol-based unscented Kalman filtering in the presence of …

… nodes, and hence, the presence of a fusion center is no … incurred by computational errors,
eg, the round-off errors in digital … “Extended Kalman filtering with stochastic nonlinearities and …

… nature, random behaviours, types of parameter uncertainties, … The existence of uncertainties
would pose serious threats to … and communication-protocol-based extended Kalman filter …

… As is well known, Kalman filtering approach requires a precise … conditions for the existence
of the desired filter gains in terms … uncertain terms that are employed to describe the modeling …

… are governed by a random sequence with known expectations … , an uncertain auxiliary system
with stochastic parameters is … to deal with the protocol-based state estimation problem for …