Wangyan Li

Orcid: 0000-0002-0068-1059

According to our database1, Wangyan Li authored at least 16 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Distributed fault estimation over sensor networks: A bit rate allocation scheme.
Inf. Sci., July, 2023

Data-Based Fault Diagnosis via Dissipativity-Shaping.
IEEE Control. Syst. Lett., 2023

2022
Minimal Number of Sensor Nodes for Distributed Kalman Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Uniform Detectability-Aided Boundedness Analysis of Error Covariances of Kalman Filter for Time-Varying Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Output-feedback control for stochastic impulsive systems under Round-Robin protocol.
Autom., 2022

Unscented Tobit Kalman filtering for switched nonlinear systems with censored measurement.
Appl. Math. Comput., 2022

2020
Stability Analysis of Covariance Intersection-Based Kalman Consensus Filtering for Time-Varying Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2020

On Boundedness of Error Covariances for Kalman Consensus Filtering Problems.
IEEE Trans. Autom. Control., 2020

2019
Vector Dissipativity-Based Distributed Fault Detection for Plantwide Chemical Processes.
Proceedings of the 12th Asian Control Conference, 2019

2018
A New Look at Boundedness of Error Covariance of Kalman Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2018

A Weightedly Uniform Detectability for Sensor Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Novel Observability Gramian-Based Fast Covariance Intersection Rule.
IEEE Signal Process. Lett., 2018

2017
Local condition-based finite-horizon distributed H<sub>∞</sub>-consensus filtering for random parameter system with event-triggering protocols.
Neurocomputing, 2017

2016
Weighted Average Consensus-Based Unscented Kalman Filtering.
IEEE Trans. Cybern., 2016

2015
Distributed H∞-consensus filtering for piecewise discrete-time linear systems.
J. Frankl. Inst., 2015

2014
Probability-dependent H<sub>∞</sub> synchronization control for dynamical networks with randomly varying nonlinearities.
Neurocomputing, 2014


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