Chaoqing Jia

According to our database1, Chaoqing Jia authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A variance-constrained method to encoding-decoding H∞ state estimation for memristive neural networks with energy harvesting sensor.
Neurocomputing, 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
A survey on state estimation of complex dynamical networks.
Int. J. Syst. Sci., 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


  Loading...