Nan Hou
Orcid: 0000-0002-3827-2357
According to our database1,
Nan Hou
authored at least 26 papers
between 2014 and 2023.
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Bibliography
2023
Participative leadership and employees' cyberloafing: A self-concept-based theory perspective.
Inf. Manag., December, 2023
Finite-horizon distributed set-membership filtering with dynamical bias and DoS attacks under binary encoding schemes.
Inf. Sci., September, 2023
Finite-Horizon Variance-Constrained Estimation for Complex Networks Subject to Dynamical Bias Using Binary Encoding Schemes.
IEEE Access, 2023
2022
Sensor Fault Estimation for Nonlinear Complex Networks With Time Delays Under Saturated Innovations: A Binary Encoding Scheme.
IEEE Trans. Netw. Sci. Eng., 2022
Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes.
Sci. China Inf. Sci., 2022
Appl. Soft Comput., 2022
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
2021
A Partial-Node-Based Approach to State Estimation for Complex Networks With Sensor Saturations Under Random Access Protocol.
IEEE Trans. Neural Networks Learn. Syst., 2021
Outlier-resistant bserver-based H∞ PID control under stochastic communication protocol.
Appl. Math. Comput., 2021
2020
Robust Partial-Nodes-Based State Estimation for Complex Networks Under Deception Attacks.
IEEE Trans. Cybern., 2020
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
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
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