Nan Hou

According to our database1, Nan Hou authored at least 17 papers between 2014 and 2020.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks.
IEEE Trans. Cybern., 2020

Fault estimation for time-varying systems with Round-Robin protocol.
Kybernetika, 2020

Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol.
Int. J. Syst. Sci., 2020

Outlier-resistant <i>H</i><sub>∞</sub> filtering for a class of networked systems under Round-Robin protocol.
Neurocomputing, 2020

Fault estimation for complex networks with randomly varying topologies and stochastic inner couplings.
Autom., 2020

2019
On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays.
Neural Comput. Appl., 2019

Dynamical performance analysis of communication-embedded neural networks: A survey.
Neurocomputing, 2019

Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol.
Neurocomputing, 2019

2018
Variance-Constrained State Estimation for Complex Networks With Randomly Varying Topologies.
IEEE Trans. Neural Networks Learn. Syst., 2018

Event-triggered non-fragile <i>H</i><sub>∞</sub> fault detection for discrete time-delayed nonlinear systems with channel fadings.
J. Frankl. Inst., 2018

Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes.
Int. J. Gen. Syst., 2018

2017
H<sub>∞</sub> state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through Fading channels.
Neural Networks, 2017

Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels.
Inf. Fusion, 2017

State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

2016
Non-fragile state estimation for discrete Markovian jumping neural networks.
Neurocomputing, 2016

2015
Non-fragile H<sub>∞</sub> filtering for nonlinear systems with randomly occurring gain variations and channel fadings.
Neurocomputing, 2015

2014
Expression Profile of the <i>Schistosoma japonicum</i> Degradome Reveals Differential Protease Expression Patterns and Potential Anti-schistosomal Intervention Targets.
PLoS Comput. Biol., 2014


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