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Non-iterative denoising algorithm for mechanical vibration signal using spectral graph wavelet transform and detrended fluctuation analysis
X Dong, G Li, Y Jia, B Li, K He - Mechanical Systems and Signal …, 2021 - Elsevier
A novel non-iterative denoising technique combining spectral graph wavelet transform and
detrended fluctuation analysis is proposed to solve the filtering problem of non-linear and …
detrended fluctuation analysis is proposed to solve the filtering problem of non-linear and …
Distributed filtering for sensor networks with fading measurements and compensations for transmission delays and losses
H **, S Sun - Signal Processing, 2022 - Elsevier
This paper studies a distributed filtering problem for sensor networks, where sensor nodes
may suffer from their own fading measurements and random delayed and lost state …
may suffer from their own fading measurements and random delayed and lost state …
Probability-guaranteed distributed secure estimation for nonlinear systems over sensor networks under deception attacks on innovations
This paper studies the distributed secure state estimation problem for a class of general
nonlinear systems over sensor networks under unknown deception attacks on innovations …
nonlinear systems over sensor networks under unknown deception attacks on innovations …
Reinforcement learning strategy for spacecraft attitude hyperagile tracking control with uncertainties
Spacecraft attitude tracking control is a challenge for different space moving target
observation tasks, especially when uncertainties exist. Traditional controllers have poor …
observation tasks, especially when uncertainties exist. Traditional controllers have poor …
Sampled-data-based consensus of multi-agent systems with multiplicative noise and time-delays
K Zhang, Y Zhang, R Li, G Chen - Information Sciences, 2022 - Elsevier
The sampled-data-based consensus control problem of multi-agent systems (MASs) with
multiplicative noise and time-delays is studied in this paper. The MASs are given in a …
multiplicative noise and time-delays is studied in this paper. The MASs are given in a …
Optimal Kalman filter with information-weighted consensus
The use of wireless sensor networks for distributed state estimation has been a popular
research topic in the signal processing community. However, there is a distinct lack of …
research topic in the signal processing community. However, there is a distinct lack of …
A resilient approach to recursive distributed filtering for multirate systems over sensor networks with time-correlated fading channels
This paper addresses the resilient distributed filtering problem for a class of time-varying
multirate systems over sensor networks subject to time-correlated fading channels. The time …
multirate systems over sensor networks subject to time-correlated fading channels. The time …
Robust coordinated control for large flexible spacecraft based on consensus theory
A distributed coordinated robust control method is proposed in this paper for large flexible
spacecraft with distributed actuators and sensors. By dividing the control framework into an …
spacecraft with distributed actuators and sensors. By dividing the control framework into an …
Distributed filtering for Markov jump systems with randomly occurring one-sided Lipschitz nonlinearities under Round-Robin scheduling
M Zhu, Y Chen, Y Kong, C Chen, J Bai - Neurocomputing, 2020 - Elsevier
This paper focuses on distributed filter design for Markov jump one-sided Lipschitz nonlinear
systems over a sensor network by applying Round-Robin scheduling scheme. The …
systems over a sensor network by applying Round-Robin scheduling scheme. The …
Distributed Kalman estimation with decoupled local filters
D Marelli, T Sui, M Fu - Automatica, 2021 - Elsevier
We study a distributed Kalman filtering problem in which a number of nodes cooperate
without central coordination to estimate a common state based on local measurements and …
without central coordination to estimate a common state based on local measurements and …