Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

Caballero-Águila, Raquel; Linares-Pérez, Josefa

doi:10.1080/00207721.2022.2122905

Cited by 30 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As prevalent factors in the system, parameter uncertainty and time delay will diminish the system performance, and the impact on the state estimation can not be ignored. 30,31 In Reference 32, a state estimation method has been derived by combining the P-radius of the zonotope for a multi-output system with interval uncertainty. In Reference 33, for discrete descriptor systems with polytopic uncertainty, a parameterized zonotope has been constructed and a state estimation algorithm has been given based on the P-radius minimization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Chen,

Zhou,

et al. 2024

Optim Control Appl Methods

View full text Add to dashboard Cite

Considering the influence of interval uncertainty, a set‐membership state estimation algorithm based on zonotope is proposed for discrete‐time delayed switched systems subject to unknown but bounded noises. To economize on communication resources, an event‐triggered mechanism is introduced to ensure the efficient transmission of the required observation information. For the channel fading phenomenon during data transmission, an interval channel fading model applicable to the zonotope set‐emmbership state estimation is proposed. The asynchronous state observer is constructed by considering the inconsistency between event‐triggered instant and subsystem switched instant. The sufficient conditions for the existence of the state observer are given using the average dwell time method. The optimal observer gain matrix is derived by solving convex optimization. On this basis, the zonotope and the state estimation interval containing states are given by the zonotopic method. Finally, the validity and feasibility of the proposed algorithm are demonstrated by a numerical example with the comparison result.

show abstract

Section: Introductionmentioning

confidence: 99%

“…As prevalent factors in the system, parameter uncertainty and time delay will diminish the system performance, and the impact on the state estimation can not be ignored 30,31 . In Reference 32, a state estimation method has been derived by combining the P‐radius of the zonotope for a multi‐output system with interval uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Chen,

Zhou,

et al. 2024

Optim Control Appl Methods

View full text Add to dashboard Cite

show abstract

“…Generally, a set of random sequences are utilized to characterize the incomplete measurement phenomenon in measurement output model. However, this method can not effectively reduce the computation burden and cost in case of good communication 29‐31 . In order to overcome this disadvantage, the partial‐nodes‐based state estimation (PNBSE) scheme has been proposed, which can provide the states of all nodes via partial nodes' measurement information 32,33 .…”

Section: Introductionmentioning

confidence: 99%

“…However, this method can not effectively reduce the computation burden and cost in case of good communication. [29][30][31] In order to overcome this disadvantage, the partial-nodes-based state estimation (PNBSE) scheme has been proposed, which can provide the states of all nodes via partial nodes' measurement information. 32,33 In the light of the potential application of PNBSE method, it has received a growing number of attentions in recent years.…”

Section: Introductionmentioning

confidence: 99%

Partial‐nodes‐based state estimation for state‐saturated complex networks with random mixed couplings under dynamic event‐triggered protocol

Lin

Chen

et al. 2023

Adaptive Control & Signal

View full text Add to dashboard Cite

The state estimation (SE) problem is addressed for state-saturated complex networks (CNs) contaminated by the random mixed couplings. Such coupling phenomenon consists of the random inner coupling and the random outer coupling, where the random inner coupling is reflected by multiplicative noise and the random outer coupling is described by random variable obeying uniform distribution. In order to reduce resource waste and calculation cost, the additional auxiliary variable method is employed to construct the dynamic event-triggered communication condition, which can more effectively represent the change of information demand. Accordingly, a novel partial-nodes-based (PNB) estimator is designed in the presence of general nonlinearity and state-saturated nonlinearity, which can estimate the whole states of network nodes with the aid of the measurement information from partial nodes. The appropriate estimator gain is obtained to ensure that the upper bound of estimation error covariance (UBEEC) is minimized. Moreover, sufficient condition is given to guarantee that the trace of the UBEEC is uniformly bounded. Finally, the numerical example is presented to demonstrate the feasibility and effectiveness of the developed PNB estimation algorithm.

show abstract

Outlier‐resistant state estimation for complex networks with random false data injection attacks under encoding–decoding mechanism

Liu,

Hu,

Jia

et al. 2024

Adaptive Control & Signal

View full text Add to dashboard Cite

SummaryThis article focuses on the outlier‐resistant state estimation problem for discrete time‐varying complex networks (TVCNs) affected by random false data injection attacks (FDIAs) under an encoding–decoding mechanism (EDM). From the perspective of information security, a uniform‐quantization‐based EDM is employed to encrypt the transmitted data. During the data transmission process, a set of independent random variables governed by Bernoulli distribution is introduced to characterize the occurrence of random FDIAs. For the purpose of alleviating the passive impact of potential measurement outliers, a saturation structure is adopted during the estimator design. The gain matrix is given by minimizing the upper bound of estimation error covariance. According to the stochastic analysis method, it is shown that the state estimation error is bounded exponentially in mean‐square sense by providing new sufficient condition. It should be noted that we make the first attempt to develop new outlier‐resistant state estimation method with performance evolution criterion in the time‐varying perspective for TVCNs with random FDIAs under EDM. Finally, a simulation example with comparative experiment is presented to illustrate the effectiveness of the newly presented outlier‐resistant estimation algorithm.

show abstract

Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation

Cited by 30 publications

References 40 publications

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Set‐membership state estimation for delayed switched systems with fading measurement and interval uncertainty

Partial‐nodes‐based state estimation for state‐saturated complex networks with random mixed couplings under dynamic event‐triggered protocol

Outlier‐resistant state estimation for complex networks with random false data injection attacks under encoding–decoding mechanism

Contact Info

Product

Resources

About