Chang Liu

According to our database, Chang Liu authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control.

Hongxia Rao, Yun Long, Yao Zhao, Zijing Xiao, Chang Liu

Int. J. Syst. Sci., July, 2024

State Estimation for Recurrent Neural Networks With Intermittent Transmission.

Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su

IEEE Trans. Cybern., May, 2024

Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks.

Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang

IEEE Trans. Ind. Informatics, March, 2024

2023

State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information.

Chang Liu, Yuru Guo, Zhuo Wang, Yong Xu, Chun-Yi Su

IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach.

Yumei Zhou, Yuru Guo, Chang Liu, Hui Peng, Hongxia Rao

Int. J. Syst. Sci., September, 2023

Consensus-based distributed moving horizon estimation with constraints.

Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi

Inf. Sci., August, 2023

Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach.

Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, Renquan Lu, Tingwen Huang

Neural Networks, May, 2023

Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements.

Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu

IEEE Trans. Neural Networks Learn. Syst., 2023

Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.

Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao

J. Frankl. Inst., 2023

Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure.

Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao

Circuits Syst. Signal Process., 2023

2022

Set-membership filtering for complex networks with constraint communication channels.

Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang

Neural Networks, 2022

Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.

Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao

Int. J. Syst. Sci., 2022

Reliable state estimation for neural networks with TOD protocol and mixed compensation.

Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao

Neurocomputing, 2022

2021

Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.

Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang

Neural Networks, 2021

Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.

Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu

J. Frankl. Inst., 2021

2020

Finite-Horizon H_∞ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling.

Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang

IEEE Trans. Syst. Man Cybern. Syst., 2020

Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.

Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu

IEEE Trans. Neural Networks Learn. Syst., 2020

Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.

Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao

Neurocomputing, 2020

2019

Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case.

Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu

IEEE Trans. Neural Networks Learn. Syst., 2019

Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks.

Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu

IEEE Access, 2019

2018

Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information.

Yong Xu, Chang Liu, Renquan Lu, Chun-Yi Su

IEEE Trans. Neural Networks Learn. Syst., 2018

Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.

Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li

J. Frankl. Inst., 2018

State estimation for neural networks with jumping interval weight matrices and transmission delays.

Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu

Neurocomputing, 2018