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An overview of filtering for sampled-data systems under communication constraints
The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …
the digital signal shows great advantages in data transmission, storage and exchange. As a …
Communication-protocol-based analysis and synthesis of networked systems: Progress, prospects and challenges
In recent years, the communication-protocol-based synthesis and analysis issues have
gained substantial research interest owing mainly to their significance in networked systems …
gained substantial research interest owing mainly to their significance in networked systems …
A survey on state estimation of complex dynamical networks
The analysis and synthesis issues have gained widespread attention for complex dynamical
networks (CDNs) over the past few years. Accordingly, some challenges including protocol …
networks (CDNs) over the past few years. Accordingly, some challenges including protocol …
Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
Distributed state estimation for renewable energy microgrids with sensor saturations
In this paper, the distributed state estimation problem is studied for renewable energy
microgrids with sensor saturations. A system model for the microgrids with sensor …
microgrids with sensor saturations. A system model for the microgrids with sensor …
Distributed quasiconsensus control for stochastic multiagent systems under round-robin protocol and uniform quantization
In this article, the problem of consensus control is investigated for a class of multiagent
systems (MASs) with both stochastic noises and nonidentical exogenous disturbances. The …
systems (MASs) with both stochastic noises and nonidentical exogenous disturbances. The …
Particle filtering for nonlinear/non-Gaussian systems with energy harvesting sensors subject to randomly occurring sensor saturations
In this paper, the particle filtering problem is investigated for a class of nonlinear/non-
Gaussian systems with energy harvesting sensors subject to randomly occurring sensor …
Gaussian systems with energy harvesting sensors subject to randomly occurring sensor …
Recursive state estimation for networked multirate multisensor systems with distributed time-delays under round-robin protocol
This article is concerned with the problem of recursive state estimation for a class of multirate
multisensor systems with distributed time delays under the round-robin (RR) protocol. The …
multisensor systems with distributed time delays under the round-robin (RR) protocol. The …
Scalable consensus filtering for uncertain systems over sensor networks with Round‐Robin protocol
This article is concerned with the scalable distributed H∞‐consensus filtering problem for a
class of discrete time‐varying systems over sensor networks with the Round‐Robin protocol …
class of discrete time‐varying systems over sensor networks with the Round‐Robin protocol …
Reduced-order extended dissipative filtering for nonlinear systems with sensor saturation via interval type-2 fuzzy model
The system nonlinearity, sensor saturation, and the uncertainty will hamper the analysis and
affect the control performance. Filtering is a signal processing method which facilitates the …
affect the control performance. Filtering is a signal processing method which facilitates the …