The state estimation problem of heterogeneous multi-agent systems with random transport
protocol is investigated in this paper. Due to the dependency of the agent dynamics and the …

Strictly nonwhite measurement noise (NMN) is observed in many industrial processes.
Therefore, effective smoothing is often required to extract useful information about the …

In this paper, a past-aware state estimation (PASE) method (for static state estimation) is
proposed for power distribution systems, which takes previous estimates into account to …

This paper describes a GNSS software receiver architecture and the associated benefits in
terms of algorithm flexibility and processing efficiency. For the latter, different signal …

In this paper, the problem of filtering for discrete-time networked control systems with time-
correlated fading channels is considered where each time-correlated fading channel is …

This paper studies the problem of distributed filtering for discrete-time linear systems with
fading measurements and time-correlated noise over a sensor network. To address the …

Data fusion in the quadrotor integrated navigation system combining information from the
inertial navigation system (INS) and ultra wide band (UWB)-based system is provided in the …

Under coloured noise, known modifications of the Kalman filter (KF) exist only for discrete‐
time state‐space models produced by the forward Euler (FE) method, which fits with …

This paper presents a generalized theoretical framework for carrier tracking of global
navigation satellite systems signals by constructing a state space representation for the …

The Kalman filter for linear systems with colored measurement noises is revisited. Besides
two well-known approaches, ie, Bryson's and Petovello's, another measurement time …