D Ding, Z Wang, B Shen, H Dong - IET Control Theory & …, 2015 - Wiley Online Library
This study is concerned with the event‐triggered distributed ℋ∞ state estimation problem for a class of discrete‐time stochastic non‐linear systems with packet dropouts in a sensor …
This paper focuses on the event-triggered distributed state estimation over sensor networks, in which each sensor node selectively transmits the local information to its neighbors for the …
In networked systems, state estimation is hampered by communication limits. Past approaches, which consider scheduling sensors through deterministic event-triggers …
H Dong, X Bu, N Hou, Y Liu, FE Alsaadi, T Hayat - Information Fusion, 2017 - Elsevier
This paper is concerned with the distributed state estimation problem for a class of time- varying systems over sensor networks. An event-triggered communication scheme is utilized …
X Ge, QL Han, Z Wang - IEEE transactions on cybernetics, 2017 - ieeexplore.ieee.org
This paper is concerned with the distributed set-membership estimation for a discrete-time linear time-varying system over a resource-constrained wireless sensor network under the …
D Ding, Z Wang, QL Han - IEEE Transactions on Cybernetics, 2019 - ieeexplore.ieee.org
An event-triggered distributed state estimation problem is investigated for a class of discrete- time nonlinear stochastic systems with unknown parameters over sensor networks (SNs) …
This paper is concerned with the event-triggered distributed state estimation problem for a class of uncertain stochastic systems with state-dependent noises and randomly occurring …
The distributed state and parameter estimation problem is investigated in this paper for discrete-time nonlinear systems subject to sensor nonlinearities and stochastic disturbances …
F Han, Z Wang, H Dong, FE Alsaadi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper deals with the distributed-consensus state estimation problem for a class of discrete time-varying systems with integral measurements over sensor networks. The …