State estimation for neural networks with jumping interval weight matrices and transmission delays. - Hong-Xia Rao; Renquan Lu; Yong Xu 003; Chang Liu 020 (Neurocomputing, 2018)

Finite-time control for periodic systems with Markov jump sensor nonlinearities and random input gains. - Hong-Xia Rao; Yong Xu 003; Chang Liu 020; Jun-Yi Li (J. Frankl. Inst., 2018)

Remote Estimator Design for Time-Delay Neural Networks Using Communication State Information. - Yong Xu 003; Chang Liu 020; Renquan Lu; Chun-Yi Su (IEEE Trans. Neural Networks Learn. Syst., 2018)

Trajectory Tracking With Constrained Sensors and Unreliable Communication Networks. - Chang Liu 020; Fen Liu; Hong-Xia Rao; Yong Xu 003 (IEEE Access, 2019)

Finite-Horizon $l_2-l_ infty$ Synchronization for Time-Varying Markovian Jump Neural Networks Under Mixed-Type Attacks: Observer-Based Case. - Yong Xu 003; Jun-Yi Li; Renquan Lu; Chang Liu 020; Yuanqing Wu 003 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Anti-synchronization for periodic BAM neural networks with Markov scheduling protocol. - Yiting Gan; Chang Liu 020; Hui Peng 003; Fen Liu; Hong-Xia Rao (Neurocomputing, 2020)

Nonfragile Finite-Time Synchronization for Coupled Neural Networks With Impulsive Approach. - Hong-Xia Rao; Yuru Guo; Yong Xu 003; Chang Liu 020; Renquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2020)

Finite-Horizon H∞ State Estimation for Time-Varying Neural Networks with Periodic Inner Coupling and Measurements Scheduling. - Yong Xu 003; Chang Liu 020; Jun-Yi Li; Chun-Yi Su; Tingwen Huang (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Finite-time synchronization for periodic T-S fuzzy master-slave neural networks with distributed delays. - Chang Liu 020; Yuru Guo; Hong-Xia Rao; Ming Lin; Yong Xu 003 (J. Frankl. Inst., 2021)

Reliable impulsive synchronization for fuzzy neural networks with mixed controllers. - Fen Liu; Chang Liu 020; Hong-Xia Rao; Yong Xu 003; Tingwen Huang (Neural Networks, 2021)

Reliable state estimation for neural networks with TOD protocol and mixed compensation. - Hui Chen; Yao Li; Chang Liu 020; Ming Lin; Hong-Xia Rao (Neurocomputing, 2022)

Finite-time synchronisation for periodic delayed master-slave neural networks with weighted try-once-discard protocol. - Chang Liu 020; Jie Li; Ming Lin; Yanling Yang; Hong-Xia Rao (Int. J. Syst. Sci., 2022)

Set-membership filtering for complex networks with constraint communication channels. - Chang Liu 020; Lixin Yang 004; Jie Tao; Yong Xu 003; Tingwen Huang (Neural Networks, 2022)

Set-Membership Filtering for Time-Varying Complex Networks with Randomly Varying Nonlinear Coupling Structure. - Ming Lin; Jie Li; Yan-Ni Zeng; Chang Liu 020; Hongxia Rao (Circuits Syst. Signal Process., 2023)

Reliable mixed H2/H∞ distributed estimation for periodic nonlinear systems with jumping topology. - Ming Lin; Yan-Ni Zeng; Hui Chen; Chang Liu 020; Hong-Xia Rao (J. Frankl. Inst., 2023)

Finite-Time Estimation for Markovian BAM Neural Networks With Asymmetrical Mode-Dependent Delays and Inconstant Measurements. - Chang Liu 020; Zhuo Wang 003; Renquan Lu; Tingwen Huang; Yong Xu 003 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Bounded synchronization for uncertain master-slave neural networks: An adaptive impulsive control approach. - Yuru Guo; Chang Liu 020; Yonghua Liu; Yong Xu 003; Renquan Lu; Tingwen Huang (Neural Networks, 2023)

Consensus-based distributed moving horizon estimation with constraints. - Zenghong Huang; Zijie Chen; Chang Liu 020; Yong Xu 003; Peng Shi 001 (Inf. Sci., 2023)

Synchronization for Markovian master-slave neural networks: an event-triggered impulsive approach. - Yumei Zhou; Yuru Guo; Chang Liu 020; Hui Peng 003; Hongxia Rao (Int. J. Syst. Sci., 2023)

State Estimation for Nonuniformly Sampled Neural Networks With Hidden Information. - Chang Liu 020; Yuru Guo; Zhuo Wang 003; Yong Xu 003; Chun-Yi Su (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Event-Triggered Distributed Moving Horizon Estimation Over Wireless Sensor Networks. - Zenghong Huang; Weijun Lv; Chang Liu 020; Yong Xu 003; Leszek Rutkowski; Tingwen Huang (IEEE Trans. Ind. Informatics, 2024)

State Estimation for Recurrent Neural Networks With Intermittent Transmission. - Chang Liu 020; Hongxia Rao; Xinxin Yu; Yong Xu 003; Chun-Yi Su (IEEE Trans. Cybern., 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 020 (Int. J. Syst. Sci., 2024)

Gaussian framework for nonlinear state estimation with stochastic event-trigger and packet losses. - Weijun Lv; Chang Liu 020; Yong Xu 003; Renquan Lu; Ling Shi 001 (Autom., 2025)

Adaptive Event-Triggered Heterogeneous Consensus of Leader-Following Multi-Agent Systems With Nonlinear Dynamic Topology. - Zehui Xiao; Zijing Xiao; Jie Tao; Chang Liu 020; Peng Shi 001; Imre J. Rudas (IEEE Trans Autom. Sci. Eng., 2025)

Distributed Set-Membership Filtering for Sensor Networks: An Event-Triggered Approach. - Tianyang Zhang; Zenghong Huang; Chang Liu 020; Yong Xu 003; Tingwen Huang (IEEE Trans. Ind. Informatics, 2025)

Anti-Quasisynchronization for Asynchronous Leader-Follower Markovian Neural Networks With Hidden Markov Model-Based Intermittent Control. - Zijing Xiao; Meng Zhang 011; Hongxia Rao; Chang Liu 020; Yong Xu 003 (IEEE Trans. Cybern., 2025)