Chang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Parametric Optimization

Weight Matrices

Laparoscopic Surgery

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

J. Frankl. Inst.

Int. J. Syst. Sci.

Neural Networks

Publications

Hongxia Rao, Yun Long, Yao Zhao, Zijing Xiao, Chang Liu
Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control. Int. J. Syst. Sci. 55 (10) (2024)
Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su
State Estimation for Recurrent Neural Networks With Intermittent Transmission. IEEE Trans. Cybern. 54 (5) (2024)
Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. IEEE Trans. Ind. Informatics 20 (3) (2024)
Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, Renquan Lu, Tingwen Huang
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach. Neural Networks 162 (2023)
Chang Liu, Yuru Guo, Zhuo Wang, Yong Xu, Chun-Yi Su
State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology. J. Frankl. Inst. 360 (1) (2023)
Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. Circuits Syst. Signal Process. 42 (9) (2023)
Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
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) (2023)
Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao
Reliable state estimation for neural networks with TOD protocol and mixed compensation. Neurocomputing 492 (2022)
Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol. Int. J. Syst. Sci. 53 (4) (2022)
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang
Set-membership filtering for complex networks with constraint communication channels. Neural Networks 152 (2022)
Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. J. Frankl. Inst. 358 (4) (2021)
Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. Neural Networks 143 (2021)
Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang
State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. IEEE Trans. Syst. Man Cybern. Syst. 50 (1) (2020)
Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach. IEEE Trans. Neural Networks Learn. Syst. 31 (11) (2020)
Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. Neurocomputing 417 (2020)
Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. IEEE Access 7 (2019)
Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu
Finite-Horizon $l_2-l_\infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. IEEE Trans. Neural Networks Learn. Syst. 30 (6) (2019)
Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains. J. Frankl. Inst. 355 (10) (2018)
Yong Xu, Chang Liu, Renquan Lu, Chun-Yi Su
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information. IEEE Trans. Neural Networks Learn. Syst. 29 (10) (2018)
Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu
State estimation for neural networks with jumping interval weight matrices and transmission delays. Neurocomputing 275 (2018)