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Chaoqing Jia
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2020 – today
- 2024
- [j14]Yan Gao, Jun Hu
, Kun Chi, Chaoqing Jia, Jun Qi:
A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor. Neurocomputing 579: 127448 (2024) - 2023
- [j13]Chaoqing Jia, Jun Hu
Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay. Inf. Sci. 630: 53-73 (2023) - [j12]Yan Gao, Jun Hu
Outlier-resistant variance-constrained $\mathit{H}_{\infty }$ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks. Neural Comput. Appl. 35(18): 13261-13273 (2023) - [j11]Yan Gao, Jun Hu
Variance-Constrained Resilient H∞ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability. Neural Process. Lett. 55(4): 5031-5054 (2023) - [j10]Jun Hu, Yan Gao, Cai Chen, Junhua Du, Chaoqing Jia:
Partial-Neurons-Based H∞ State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint. Neural Process. Lett. 55(6): 8285-8307 (2023) - [j9]Yan Gao, Jun Hu, Cai Chen, Hui Yu, Chaoqing Jia:
A Variance-Constrained Method to Protocol-Based H∞ State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity. Neural Process. Lett. 55(9): 12501-12523 (2023) - 2022
- [j8]Na Lin, Dongyan Chen, Jun Hu
Partial-Nodes-Based State Estimation for Stochastic Coupled Complex Networks with Random Sensor Delay: An Event-Triggered Communication Method. Circuits Syst. Signal Process. 41(10): 5461-5491 (2022) - [j7]Jun Hu, Chaoqing Jia, Hui Yu, Hongjian Liu:
Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints. IEEE CAA J. Autom. Sinica 9(5): 941-944 (2022) - [j6]Chaoqing Jia, Jun Hu, Dongyan Chen, Zhipeng Cao, Jinpeng Huang, Hailong Tan:
Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements. Neurocomputing 494: 297-307 (2022) - [j5]Chaoqing Jia, Jun Hu
Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol. J. Frankl. Inst. 359(11): 5575-5595 (2022) - [c1]Yan Gao, Jun Hu, Hui Yu, Chaoqing Jia:
Design of Variance-Constrained H∞ State Estimation Algorithm for Delayed Memristive Neural Networks with Attacks: An Adaptive Event-Triggered Approach. CCIS 2022: 571-575 - 2021
- [j4]Jun Hu
A survey on state estimation of complex dynamical networks. Int. J. Syst. Sci. 52(16): 3351-3367 (2021) - 2020
- [j3]Jun Hu, Zidong Wang
Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements. Autom. 115: 108908 (2020) - [j2]Chaoqing Jia, Jun Hu, Chongyang Lv, Yujing Shi:
Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism. Kybernetika 56(1): 35-56 (2020)
2010 – 2019
- 2018
- [j1]Chaoqing Jia, Jun Hu
Event-triggered resilient filtering with stochastic uncertainties and successive packet dropouts via variance-constrained approach. Int. J. Gen. Syst. 47(5): 438-453 (2018)
Coauthor Index
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