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Hui Peng
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 23
Top Topics
Neural Network
Kalman Filtering
Stochastic Systems
State Estimation
Top Venues
Neurocomputing
IEEE Trans. Neural Networks Learn. Syst.
J. Frankl. Inst.
IEEE Trans. Autom. Control.
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Publications
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Yanling Ding
,
Dan Ma
,
Qi Mao
,
Hui Peng
,
Jie Chen
Consensus Robustness Margins of First-Order Agents Over Undirected Graphs.
IEEE Trans. Autom. Control.
69 (5) (2024)
Yanling Ding
,
Hui Peng
,
Tian Qi
,
Jie Chen
Consensus Performance of First-Order Agents.
IEEE Trans. Autom. Control.
69 (8) (2024)
Zenghong Huang
,
Yuru Guo
,
Hui Peng
,
Yong Xu
Distributed Moving Horizon Estimation Over Wireless Sensor Networks: A Matrix-Weighted Consensus Approach.
IEEE Trans. Circuits Syst. II Express Briefs
70 (4) (2023)
Hui Peng
,
Boru Zeng
,
Lixin Yang
,
Yong Xu
,
Renquan Lu
Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty.
IEEE Trans. Neural Networks Learn. Syst.
34 (9) (2023)
Hui Peng
,
Jincheng Huang
,
Zonghao Zhao
,
Huijiao Wang
,
Peng Shi
Pinning Synchronization Control for Markovian Intermittent Time-Varying Coupled Neural Networks Under Multiplicative Noises.
IEEE Trans. Circuits Syst. I Regul. Pap.
70 (9) (2023)
Qi Mao
,
Dan Ma
,
Yanling Ding
,
Hui Peng
,
Jie Chen
Consensus Robustness under PI Protocols with Undirected Graphs.
ACC
(2023)
Yumei Zhou
,
Yuru Guo
,
Chang Liu
,
Hui Peng
,
Hongxia Rao
Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach.
Int. J. Syst. Sci.
54 (12) (2023)
Hui Peng
,
Renquan Lu
,
Peng Shi
Synchronization Control for Coupled Delayed Neural Networks With Time-Varying Coupling via Markov Pinning Strategy.
IEEE Syst. J.
16 (3) (2022)
Hong-Xia Rao
,
Yong Xu
,
Hui Peng
,
Renquan Lu
,
Chun-Yi Su
Quasi-Synchronization of Time Delay Markovian Jump Neural Networks With Impulsive-Driven Transmission and Fading Channels.
IEEE Trans. Cybern.
50 (9) (2020)
Hong-Xia Rao
,
Fen Liu
,
Hui Peng
,
Yong Xu
,
Renquan Lu
Observer-Based Impulsive Synchronization for Neural Networks With Uncertain Exchanging Information.
IEEE Trans. Neural Networks Learn. Syst.
31 (10) (2020)
Yiting Gan
,
Chang Liu
,
Hui Peng
,
Fen Liu
,
Hong-Xia Rao
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.
Neurocomputing
417 (2020)
Hui Peng
,
Renquan Lu
,
Peng Shi
,
Yong Xu
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements.
Int. J. Control
92 (12) (2019)
Hui Peng
,
Peng Shi
,
Yong Xu
Passive state estimator design for Markovian complex networks with polytopic sensor failures.
Neurocomputing
307 (2018)
Yong Xu
,
Renquan Lu
,
Hui Peng
,
Shengli Xie
Filtering for Fuzzy Systems With Multiplicative Sensor Noises and Multidensity Quantizer.
IEEE Trans. Fuzzy Syst.
26 (2) (2018)
Hui Peng
,
Renquan Lu
,
Yong Xu
,
Feixiong Yao
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays.
Neurocomputing
275 (2018)
Zhuo Wang
,
Yong Xu
,
Renquan Lu
,
Hui Peng
Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities.
IEEE Trans. Neural Networks Learn. Syst.
28 (3) (2017)
Yong Xu
,
Renquan Lu
,
Hui Peng
,
Kan Xie
,
Anke Xue
Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements.
IEEE Trans. Neural Networks Learn. Syst.
28 (2) (2017)
Hui Peng
,
Renquan Lu
,
Yong Xu
,
Hong-Xia Rao
,
Kan Xie
Quantized fuzzy passification for nonlinear systems with Markov-based transmission delays.
J. Frankl. Inst.
354 (4) (2017)
Jun-Yi Li
,
Renquan Lu
,
Yong Xu
,
Hui Peng
,
Hong-Xia Rao
Distributed state estimation for periodic systems with sensor nonlinearities and successive packet dropouts.
Neurocomputing
237 (2017)
Renquan Lu
,
Shuang Liu
,
Hui Peng
,
Yong Xu
,
Kan Xie
Non-fragile filtering for fuzzy stochastic systems over fading channel.
Neurocomputing
174 (2016)
Yong Xu
,
Renquan Lu
,
Hui Peng
,
Jian Chen
Passive filter design for periodic stochastic systems with quantized measurements and randomly occurring nonlinearities.
J. Frankl. Inst.
353 (1) (2016)
Renquan Lu
,
Sheng-Ge Chen
,
Yong Xu
,
Hui Peng
,
Kan Xie
State estimation for complex networks with randomly varying nonlinearities and sensor failures.
Complex.
21 (S2) (2016)
Yong Xu
,
Renquan Lu
,
Jie Tao
,
Hui Peng
,
Kan Xie
state estimation for discrete-time neural networks with jumping saturations.
Neurocomputing
207 (2016)