Chaoqing Jia
Orcid: 0000-0003-4875-2618
According to our database1,
Chaoqing Jia
authored at least 20 papers
between 2018 and 2026.
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Bibliography
2026
Tobit filtering for nonlinear systems with fading observations under periodic protocol via uniform dynamic encoding-decoding scheme.
Commun. Nonlinear Sci. Numer. Simul., 2026
2025
Distributed State Estimation for Nonlinear Dynamical Networks With Stochastic Topological Structures Subject to Random Deception Attacks and Bit-Rate Constraints.
IEEE Trans. Syst. Man Cybern. Syst., June, 2025
A Recursive Method to Encryption-Decryption-Based Distributed Set-Membership Filtering for Time-Varying Saturated Systems Over Sensor Networks.
IEEE CAA J. Autom. Sinica, May, 2025
Distributed event-triggered state estimation for renewable microgrids subject to incomplete observations.
Neurocomputing, 2025
2024
A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor.
Neurocomputing, 2024
Tobit Recursive Filtering for Nonlinear Networked Systems with Measurement Censoring and Constrained Bit Rate.
Proceedings of the 14th Asian Control Conference, 2024
2023
Partial-Neurons-Based H<sub>∞ </sub> State Estimation for Time-Varying Neural Networks Subject to Randomly Occurring Time Delays under Variance Constraint.
Neural Process. Lett., December, 2023
A Variance-Constrained Method to Protocol-Based H<sub>∞ </sub> State Estimation for Delayed Neural Networks with Randomly Occurring Sensor Nonlinearity.
Neural Process. Lett., December, 2023
Outlier-resistant variance-constrained $\mathit{H}_{\infty }$ state estimation for time-varying recurrent neural networks with randomly occurring deception attacks.
Neural Comput. Appl., June, 2023
Recursive state estimation for a class of quantized coupled complex networks subject to missing measurements and amplify-and-forward relay.
Inf. Sci., June, 2023
Variance-Constrained Resilient H<sub>∞ </sub> State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability.
Neural Process. Lett., 2023
2022
Recursive state estimation for nonlinear coupling complex networks with time-varying topology and round-robin protocol.
J. Frankl. Inst., 2022
Adaptive event-triggered state estimation for a class of stochastic complex networks subject to coding-decoding schemes and missing measurements.
Neurocomputing, 2022
Dynamic Event-triggered State Estimation for Nonlinear Coupled Output Complex Networks Subject to Innovation Constraints.
IEEE CAA J. Autom. Sinica, 2022
Partial-Nodes-Based State Estimation for Stochastic Coupled Complex Networks with Random Sensor Delay: An Event-Triggered Communication Method.
Circuits Syst. Signal Process., 2022
Design of Variance-Constrained H∞ State Estimation Algorithm for Delayed Memristive Neural Networks with Attacks: An Adaptive Event-Triggered Approach.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
2021
2020
Optimized state estimation for nonlinear dynamical networks subject to fading measurements and stochastic coupling strength: An event-triggered communication mechanism.
Kybernetika, 2020
Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements.
Autom., 2020
2018
Event-triggered resilient filtering with stochastic uncertainties and successive packet dropouts via variance-constrained approach.
Int. J. Gen. Syst., 2018