Distributed filtering for multi-sensor networked systems with stochastic communication protocol and correlated noises
H Zhou, S Sun - Information Fusion, 2024 - Elsevier
In multi-sensor networked systems, to solve data conflicts caused by limited bandwidths
during measurement data exchange among sensors, a stochastic communication protocol …
during measurement data exchange among sensors, a stochastic communication protocol …
Multi-vehicle localization by distributed MHE over a sensor network with sporadic measurements: Further developments and experimental results
This paper proposes a Distributed Moving Horizon Estimation (DMHE) approach performed
by an external static Sensor Network (SN) composed of surveillance cameras and their …
by an external static Sensor Network (SN) composed of surveillance cameras and their …
Predetermined performance fault-tolerant control for vehicle platoon against measurement drifts and multiple input constraints
Y Yang, Q Shen - IEEE Transactions on Industrial Electronics, 2024 - ieeexplore.ieee.org
This article focuses on the problem of predetermined performance fault-tolerant control for
vehicle platoon with measurement drifts and multiple input constraints. To overcome the …
vehicle platoon with measurement drifts and multiple input constraints. To overcome the …
A framework on fully distributed state estimation and cooperative stabilization of LTI plants
P Duan, Y Lv, G Wen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
How to realize high-level autonomy of individuals is one of the key technical issues to
promote swarm intelligence of multiagent (node) systems with collective tasks, while the fully …
promote swarm intelligence of multiagent (node) systems with collective tasks, while the fully …
Adaptive distributed unknown input observer for linear systems
DD Zhou, R Zhao - Applied Mathematics and Computation, 2025 - Elsevier
This paper studies the adaptive distributed unknown input observer (ADUIO) for linear
systems with local outputs, which contains a group of local observers under directed graph …
systems with local outputs, which contains a group of local observers under directed graph …
Distributed state estimation for multi-agent systems under consensus control
Distributed state estimation and consensus control for linear time-invariant multi-agent
systems under strongly connected directed graph are addressed in this paper. The …
systems under strongly connected directed graph are addressed in this paper. The …
Uncertainty and disturbance estimator‐based geometry tracking control for quadrotors without linear velocity measurements
This paper addresses the trajectory tracking control problem of a quadrotor under uncertain
model parameters, external disturbances, and unmeasurable linear velocity. The main …
model parameters, external disturbances, and unmeasurable linear velocity. The main …
Observation of periodic systems: Bridge centralized Kalman filtering and consensus-based distributed filtering
Compared with linear time invariant systems, linear periodic system can describe the
periodic processes arising from nature and engineering more precisely. However, the time …
periodic processes arising from nature and engineering more precisely. However, the time …
Harmonic-coupled Riccati equation and its applications in distributed filtering
The coupled Riccati equations (CREs) are a set of multiple Riccati-like equations whose
solutions are coupled with each other through matrix means. They are a fundamental …
solutions are coupled with each other through matrix means. They are a fundamental …
[HTML][HTML] ODEFTC: Optimal Distributed Estimation based on Fixed-Time Consensus
Distributed state estimation has been a significant research topic in recent years due to its
applications for multi-robot and large-scale systems. Several approaches have been …
applications for multi-robot and large-scale systems. Several approaches have been …