Hui Peng
Orcid: 0000-0001-7954-9028Affiliations:
- Guangdong University of Technology, School of Automation, Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangzhou, China
- Hangzhou Dianzi University, Institute of Information and Control, Key Laboratory for IoT and Information Fusion Technology of Zhejiang, China (PhD 2018)
According to our database1,
Hui Peng
authored at least 24 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
H<sub>∞</sub> Pinning Synchronization Control for Markovian Intermittent Time-Varying Coupled Neural Networks Under Multiplicative Noises.
IEEE Trans. Circuits Syst. I Regul. Pap., September, 2023
Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach.
Int. J. Syst. Sci., September, 2023
Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023
Proceedings of the American Control Conference, 2023
2022
Synchronization Control for Coupled Delayed Neural Networks With Time-Varying Coupling via Markov Pinning Strategy.
IEEE Syst. J., 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Mean-Square Stabilizability Under Unstructured Stochastic Multiplicative Uncertainties: A Mean-Square Small-Gain Perspective.
Proceedings of the American Control Conference, 2022
2021
Mean-Square Stabilizability of Low-Order Systems Against Correlated Stochastic Multiplicative Uncertainties.
CoRR, 2021
2020
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.
IEEE Trans. Neural Networks Learn. Syst., 2020
Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.
IEEE Trans. Cybern., 2020
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.
Neurocomputing, 2020
2019
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements.
Int. J. Control, 2019
2018
Filtering for Fuzzy Systems With Multiplicative Sensor Noises and Multidensity Quantizer.
IEEE Trans. Fuzzy Syst., 2018
Passive state estimator design for Markovian complex networks with polytopic sensor failures.
Neurocomputing, 2018
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays.
Neurocomputing, 2018
2017
Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements.
IEEE Trans. Neural Networks Learn. Syst., 2017
Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities.
IEEE Trans. Neural Networks Learn. Syst., 2017
Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.
J. Frankl. Inst., 2017
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.
Neurocomputing, 2017
2016
Passive filter design for periodic stochastic systems with quantized measurements and randomly occurring nonlinearities.
J. Frankl. Inst., 2016
Nonfragile l<sub>2</sub>-l<sub>∞</sub> state estimation for discrete-time neural networks with jumping saturations.
Neurocomputing, 2016
Neurocomputing, 2016
State estimation for complex networks with randomly varying nonlinearities and sensor failures.
Complex., 2016