State Estimation for Discrete Time Linear Systems with Nonlinear measurements and Round-Robin Protocol. - Zitian Li; Zenghong Huang; Lixin Yang 004; Jie Li; Hong-Xia Rao (SPAC, 2021)

State Estimation for Networked Systems With Markov Driven Transmission and Buffer Constraint. - Yong Xu 003; Lixin Yang 004; Zhuo Wang 003; Hong-Xia Rao; Renquan Lu (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Optimal sensor scheduling for remote state estimation with limited bandwidth: a deep reinforcement learning approach. - Lixin Yang 004; Hong-Xia Rao; Ming Lin; Yong Xu 003; Peng Shi 001 (Inf. 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)

Efficient Measurement Scheduling for Remote State Estimation With Limited Bandwidth. - Lixin Yang 004; Yong Xu 003; Hong-Xia Rao; Yong-Hua Liu; Chun-Yi Su (IEEE Trans. Instrum. Meas., 2022)

Pinning synchronization for markovian jump neural networks with uncertain impulsive effects. - Yuru Guo; Zenghong Huang; Lixin Yang 004; Hong-Xia Rao; Hui Chen; Yong Xu 003 (Neurocomputing, 2023)

Learning Optimal Stochastic Sensor Scheduling for Remote Estimation With Channel Capacity Constraint. - Lixin Yang 004; Yong Xu 003; Zenghong Huang; Hong-Xia Rao; Daniel E. Quevedo (IEEE Trans. Ind. Informatics, 2023)

Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach. - Lixin Yang 004; Jie Tao; Yong-Hua Liu; Yong Xu 003; Chun-Yi Su (Neural Networks, 2023)

Distributed Extended State Estimation for Complex Networks With Nonlinear Uncertainty. - Hui Peng 003; Boru Zeng; Lixin Yang 004; Yong Xu 003; Renquan Lu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation. - Yong Xu 003; Haoxiang Xiang; Lixin Yang 004; Renquan Lu; Daniel E. Quevedo (Autom., 2023)

Optimal redundant transmission scheduling for remote state estimation via reinforcement learning approach. - Yijin Jia; Lixin Yang 004; Yao Zhao; Jun-Yi Li; Weijun Lv (Neurocomputing, 2024)

Optimal Transmission Scheduling Over Multihop Networks: Structural Results and Reinforcement Learning. - Lixin Yang 004; Yong Xu 003; Weijun Lv; Jun-Yi Li; Ling Shi (IEEE Trans. Autom. Control., 2024)

Structure-Aware Reinforcement Learning for Optimal Transmission Scheduling Over Packet Length-Dependent Lossy Networks. - Lixin Yang 004; Weijun Lv; Yong Xu 003; Jie Tao; Daniel E. Quevedo (IEEE Trans. Autom. Control., 2025)