The adaptive practical optimal time-varying formation tracking problems of the disturbed
high-order multi-agent systems with a noncooperative leader are considered. Different from …

In this paper, the distributed set-membership filtering problem is studied for a class of
discrete time-varying systems over digital wireless sensor networks. In order to make full …

In this paper we investigate how stability and optimality of consensus-based distributed
filters depend on the number of consensus steps in a discrete-time setting for both directed …

In this article, the consensus-based distributed estimation problem is investigated for linear
time-invariant systems over sensor networks, where the sensors are required to estimate the …

Distributed state estimation is of paramount importance in many applications involving the
large-scale complex systems over spatially deployed networked sensors. This paper …

This paper studies a distributed Kalman filtering problem for sensor networks, where sensor
nodes may suffer from measuring the target state with a random activation nature and …

In this article, the problem of distributed state estimation for a continuous-time linear system
with a sensor network is investigated, where each sensor can only communicate with its …

This paper investigates the distributed Kalman filtering (DKF) from distributed optimization
viewpoint. Motivated by the fact that Kalman filtering is a maximum a posteriori estimation …

This paper presents a method of designing distributed observers for linear systems with
unknown inputs. Under the requirement of distributed state estimation, outputs of the system …

This paper studies distributed Kalman filtering problems for sensor networks with random
sensor activation and noisy channels. Each sensor measures the target state with a random …