Jiahui Li
Orcid: 0000-0002-4092-9004Affiliations:
- Northeast Petroleum University, Daqing, China
According to our database1,
Jiahui Li
authored at least 16 papers
between 2017 and 2022.
Collaborative distances:
Collaborative distances:
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Bibliography
2022
Resilient H∞ State Estimation for Discrete-Time Stochastic Delayed Memristive Neural Networks: A Dynamic Event-Triggered Mechanism.
IEEE Trans. Cybern., 2022
Outlier-Resistant Observer-Based Control for a Class of Networked Systems Under Encoding-Decoding Mechanism.
IEEE Syst. J., 2022
Observer-based PID control for actuator-saturated systems under binary encoding scheme.
Neurocomputing, 2022
Finite-horizon resilient state estimation for complex networks with integral measurements from partial nodes.
Sci. China Inf. Sci., 2022
2021
Outlier-Resistant Remote State Estimation for Recurrent Neural Networks With Mixed Time-Delays.
IEEE Trans. Neural Networks Learn. Syst., 2021
On finite-horizon H∞ state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol.
Inf. Sci., 2021
Sampled-data non-fragile state estimation for delayed genetic regulatory networks under stochastically switching sampling periods.
Neurocomputing, 2021
Outlier-resistant bserver-based H∞ PID control under stochastic communication protocol.
Appl. Math. Comput., 2021
2020
Partial-Neurons-Based Passivity-Guaranteed State Estimation for Neural Networks With Randomly Occurring Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020
H∞ and l2-l∞ state estimation for delayed memristive neural networks on finite horizon: The Round-Robin protocol.
Neural Networks, 2020
Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities.
Neural Networks, 2020
2019
Delay-distribution-dependent non-fragile state estimation for discrete-time neural networks under event-triggered mechanism.
Neural Comput. Appl., 2019
On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays.
Neural Comput. Appl., 2019
H∞ State Estimation for Neural Networks Subject to Missing Measurements with Uncertain Missing Probabilities<sup>*</sup>.
Proceedings of the 25th International Conference on Automation and Computing, 2019
2018
Neural Networks, 2018
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