This article is concerned with the ultimately bounded filtering problem for a class of linear
time-delay systems subject to norm-bounded disturbances and impulsive measurement …

This paper considers distributed estimation methods to enable the formation of Unmanned-
Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with …

In this article, we study how to secure distributed filters for linear time-invariant systems with
bounded noise under false-data injection attacks. A malicious attacker is able to arbitrarily …

This brief considers distributed Kalman filtering problem for systems with sensor faults. A
trust-based classification fusion strategy is proposed to resist against sensor faults. First, the …

In this article, we consider the security problem for the consensus-based distributed state
estimation. To resist the malicious attacker who can falsify the data transmitted through the …

Classical distributed estimation scenarios typically assume timely and reliable exchanges of
information over the sensor network. This letter, in contrast, considers single time-scale …

This paper investigates distributed estimation of an unknown vector parameter in adversarial
environments. Individual agents make successive local measurements of the unknown …

This article considers the problem of distributed robust state estimation for sensor networks
in the presence of model uncertainty and multiplicative noise. More precisely, we assume …

We address the problem of distributed state estimation of a linear dynamical process in an
attack-prone environment. Recent attempts to solve this problem impose stringent …

This paper proposes a distributed attack detection and mitigation technique based on
distributed estimation over a multi-agent network, where the agents take partial system …