Chang Liu

30 papers Journal 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributed Receding Horizon Estimation for Time Invariant Discrete Time Linear Systems Based on Substate Decomposition.
IEEE Trans. Netw. Sci. Eng.
Zenghong Huang, Zijie Chen, Yong Xu, Chang Liu, Peng Shi
2026 J jnl
Distributed Set-Membership Filtering Over Wireless Sensor Networks With Coding-Decoding Mechanism.
IEEE Trans. Circuits Syst. I Regul. Pap.
Tianyang Zhang, Zenghong Huang, Chang Liu, Jun-Yi Li, Yong Xu, Tingwen Huang
2026 J jnl
Partial-Nodes-Based Estimation for Complex Networks With Random Inner Coupling.
IEEE Trans. Syst. Man Cybern. Syst.
Qian Yang, Yi Zhong, Chang Liu, Yong Xu, Tingwen Huang, Leszek Rutkowski
2025 J jnl
Adaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology.
IEEE Trans Autom. Sci. Eng.
Zehui Xiao, Zijing Xiao, Jie Tao, Chang Liu, Peng Shi, Imre J. Rudas
2025 J jnl
Anti-Quasisynchronization for Asynchronous Leader-Follower Markovian Neural Networks With Hidden Markov Model-Based Intermittent Control.
IEEE Trans. Cybern.
Zijing Xiao, Meng Zhang, Hongxia Rao, Chang Liu, Yong Xu
2025 J jnl
Distributed Set-Membership Filtering for Sensor Networks: An Event-Triggered Approach.
IEEE Trans. Ind. Informatics
Tianyang Zhang, Zenghong Huang, Chang Liu, Yong Xu, Tingwen Huang
2025 J jnl
Gaussian framework for nonlinear state estimation with stochastic event-trigger and packet losses.
Autom.
Weijun Lv, Chang Liu, Yong Xu, Renquan Lu, Ling Shi
2024 J jnl
Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks.
IEEE Trans. Ind. Informatics
Zenghong Huang, Weijun Lv, Chang Liu, Yong Xu, Leszek Rutkowski, Tingwen Huang
2024 J jnl
Finite-time synchronisation for Markovian master-slave neural networks with weighted try-once-discard protocol and static intermittent control.
Int. J. Syst. Sci.
Hongxia Rao, Yun Long, Yao Zhao, Zijing Xiao, Chang Liu
2024 J jnl
State Estimation for Recurrent Neural Networks With Intermittent Transmission.
IEEE Trans. Cybern.
Chang Liu, Hongxia Rao, Xinxin Yu, Yong Xu, Chun-Yi Su
2023 J jnl
Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach.
Neural Networks
Yuru Guo, Chang Liu, Yonghua Liu, Yong Xu, Renquan Lu, Tingwen Huang
2023 J jnl
Consensus-based distributed moving horizon estimation with constraints.
Inf. Sci.
Zenghong Huang, Zijie Chen, Chang Liu, Yong Xu, Peng Shi
2023 J jnl
Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements.
IEEE Trans. Neural Networks Learn. Syst.
Chang Liu, Zhuo Wang, Renquan Lu, Tingwen Huang, Yong Xu
2023 J jnl
Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology.
J. Frankl. Inst.
Ming Lin, Yan-Ni Zeng, Hui Chen, Chang Liu, Hong-Xia Rao
2023 J jnl
Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure.
Circuits Syst. Signal Process.
Ming Lin, Jie Li, Yan-Ni Zeng, Chang Liu, Hongxia Rao
2023 J jnl
State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information.
IEEE Trans. Syst. Man Cybern. Syst.
Chang Liu, Yuru Guo, Zhuo Wang, Yong Xu, Chun-Yi Su
2023 J jnl
Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach.
Int. J. Syst. Sci.
Yumei Zhou, Yuru Guo, Chang Liu, Hui Peng, Hongxia Rao
2022 J jnl
Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol.
Int. J. Syst. Sci.
Chang Liu, Jie Li, Ming Lin, Yanling Yang, Hong-Xia Rao
2022 J jnl
Reliable state estimation for neural networks with TOD protocol and mixed compensation.
Neurocomputing
Hui Chen, Yao Li, Chang Liu, Ming Lin, Hong-Xia Rao
2022 J jnl
Set-membership filtering for complex networks with constraint communication channels.
Neural Networks
Chang Liu, Lixin Yang, Jie Tao, Yong Xu, Tingwen Huang
2021 J jnl
Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays.
J. Frankl. Inst.
Chang Liu, Yuru Guo, Hong-Xia Rao, Ming Lin, Yong Xu
2021 J jnl
Reliable impulsive synchronization for fuzzy neural networks with mixed controllers.
Neural Networks
Fen Liu, Chang Liu, Hong-Xia Rao, Yong Xu, Tingwen Huang
2020 J jnl
Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol.
Neurocomputing
Yiting Gan, Chang Liu, Hui Peng, Fen Liu, Hong-Xia Rao
2020 J jnl
Finite-Horizon H
IEEE Trans. Syst. Man Cybern. Syst.
Yong Xu, Chang Liu, Jun-Yi Li, Chun-Yi Su, Tingwen Huang
2020 J jnl
Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach.
IEEE Trans. Neural Networks Learn. Syst.
Hong-Xia Rao, Yuru Guo, Yong Xu, Chang Liu, Renquan Lu
2019 J jnl
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.
Yong Xu, Jun-Yi Li, Renquan Lu, Chang Liu, Yuanqing Wu
2019 J jnl
Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks.
IEEE Access
Chang Liu, Fen Liu, Hong-Xia Rao, Yong Xu
2018 J jnl
Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains.
J. Frankl. Inst.
Hong-Xia Rao, Yong Xu, Chang Liu, Jun-Yi Li
2018 J jnl
Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information.
IEEE Trans. Neural Networks Learn. Syst.
Yong Xu, Chang Liu, Renquan Lu, Chun-Yi Su
2018 J jnl
State estimation for neural networks with jumping interval weight matrices and transmission delays.
Neurocomputing
Hong-Xia Rao, Renquan Lu, Yong Xu, Chang Liu