Shicheng Huo
Orcid: 0000-0002-4437-275X
According to our database1,
Shicheng Huo
authored at least 15 papers
between 2016 and 2025.
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Collaborative distances:
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Bibliography
2025
Extended dissipative analysis of integral sliding mode control for singular interval type-2 fuzzy systems with time delay.
Appl. Math. Comput., 2025
2024
IEEE Trans. Circuits Syst. II Express Briefs, December, 2024
Adaptive containment control for heterogeneous MASs with unknown leaders and actuator failures.
Int. J. Syst. Sci., November, 2024
2023
Observer-Based Resilient Consensus Control for Heterogeneous Multiagent Systems Against Cyberattacks.
IEEE Trans. Control. Netw. Syst., June, 2023
Adaptive fully distributed anti-disturbance containment control for heterogeneous multi-agent systems.
Int. J. Syst. Sci., 2023
2022
Secure output synchronization of heterogeneous multi-agent systems against false data injection attacks.
Sci. China Inf. Sci., 2022
Optimal Consensus Control for Discrete-Time Systems with State Delay Using Q-learning Solution.
Proceedings of the 17th IEEE International Conference on Control & Automation, 2022
2021
Robust $\mathscr{H}_{\infty }$ Consensus for Markov Jump Multiagent Systems Under Mode-Dependent Observer and Quantizer.
IEEE Syst. J., 2021
H∞ consensus control of multi-agent systems under attacks with partially unknown Markovian probabilities.
J. Frankl. Inst., 2021
2020
Distributed Dissipative State Estimation for Markov Jump Genetic Regulatory Networks Subject to Round-Robin Scheduling.
IEEE Trans. Neural Networks Learn. Syst., 2020
2019
Generalized State Estimation for Markovian Coupled Networks Under Round-Robin Protocol and Redundant Channels.
IEEE Trans. Cybern., 2019
Finite-time H∞ asynchronous state estimation for discrete-time fuzzy Markov jump neural networks with uncertain measurements.
Fuzzy Sets Syst., 2019
2018
On energy-to-peak filtering for semi-Markov jump singular systems with unideal measurements.
Signal Process., 2018
2017
Non-fragile mixed H<sub>∞</sub> and passive asynchronous state estimation for Markov jump neural networks with randomly occurring uncertainties and sensor nonlinearity.
Neurocomputing, 2017
2016
Complex., 2016