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ORCIDHui Peng 0003
Person information
- affiliation: Guangdong University of Technology, School of Automation, Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangzhou, China
- affiliation (PhD 2018): Hangzhou Dianzi University, Institute of Information and Control, Key Laboratory for IoT and Information Fusion Technology of Zhejiang, China
Other persons with the same name
- Hui Peng — disambiguation page
- Hui Peng 0001
![[0000-0001-7573-0727]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7573-0727")
— Central South University, School of Information Science and Engineering, Changsha, China (and 2 more) - Hui Peng 0002 — Renmin University of China, China School of Information, MoE Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China
- Hui Peng 0004 — Chinese Academy of Sciences, Institute of Geographic Science and Natural Resources Research, China
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2020 – today
- 2023
[j20]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): 2551-2565 (2023)- [j19]Hui Peng, Jincheng Huang, Zonghao Zhao, Huijiao Wang, Peng Shi:
H∞ Pinning Synchronization Control for Markovian Intermittent Time-Varying Coupled Neural Networks Under Multiplicative Noises. IEEE Trans. Circuits Syst. I Regul. Pap. 70(9): 3712-3722 (2023) - [j18]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): 1665-1669 (2023) - [j17]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): 5952-5960 (2023) - [c3]Qi Mao, Dan Ma, Yanling Ding, Hui Peng, Jie Chen:
Consensus Robustness under PI Protocols with Undirected Graphs. ACC 2023: 1068-1073 - 2022
- [j16]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): 4071-4081 (2022) - [c2]Jianqi Chen, Tian Qi, Yanling Ding, Hui Peng, Jie Chen, Shinji Hara:
Mean-Square Stabilizability Under Unstructured Stochastic Multiplicative Uncertainties: A Mean-Square Small-Gain Perspective. ACC 2022: 1164-1169 - [c1]Yanling Ding, Hui Peng, Jie Chen:
Consensus Error Performance of Linear Multi-Agent Systems. CDC 2022: 328-333 - 2021
- [i1]Jianqi Chen, Yanling Ding, Hui Peng, Tian Qi, Jie Chen:
Mean-Square Stabilizability of Low-Order Systems Against Correlated Stochastic Multiplicative Uncertainties. CoRR abs/2112.05363 (2021) - 2020
- [j15]Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao:
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. Neurocomputing 417: 585-592 (2020) - [j14]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): 4121-4131 (2020) - [j13]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): 3777-3787 (2020)
2010 – 2019
- 2019
- [j12]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): 2737-2749 (2019) - 2018
- [j11]Hui Peng, Renquan Lu, Yong Xu, Feixiong Yao:
Dissipative non-fragile state estimation for Markovian complex networks with coupling transmission delays. Neurocomputing 275: 1576-1584 (2018) - [j10]Hui Peng, Peng Shi, Yong Xu:
Passive state estimator design for Markovian complex networks with polytopic sensor failures. Neurocomputing 307: 205-212 (2018) - [j9]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): 1011-1022 (2018) - 2017
- [j8]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: 50-58 (2017) - [j7]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): 1875-1891 (2017) - [j6]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): 268-277 (2017) - [j5]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): 630-638 (2017) - 2016
- [j4]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): 507-517 (2016) - [j3]Renquan Lu, Shuang Liu, Hui Peng, Yong Xu, Kan Xie:
Non-fragile filtering for fuzzy stochastic systems over fading channel. Neurocomputing 174: 553-559 (2016) - [j2]Yong Xu, Renquan Lu, Jie Tao, Hui Peng, Kan Xie:
Nonfragile l2-l∞ state estimation for discrete-time neural networks with jumping saturations. Neurocomputing 207: 15-21 (2016) - [j1]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): 144-159 (2016)
Coauthor Index
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