Derandomisation-based multiple frequency control for stochastic Markov jump systems. - Xiaoli Luan; Haiying Wan; Fei Liu 001 (Int. J. Syst. Sci., 2019)

High-Order Moment Filtering for Markov Jump Systems in Finite Frequency Domain. - Haiying Wan; Xiaoli Luan; Hamid Reza Karimi; Fei Liu 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Finite-time resources-aware self-triggered H∞ controller for Markov jump systems. - Haiying Wan; Xiaoli Luan; Shuping He; Fei Liu 001 (J. Frankl. Inst., 2020)

Diagnostic Method of Liver Cirrhosis Based on MR Image Texture Feature Extraction and Classification Algorithm. - Chunmei Xiong; Mei Han; Yan Zhao; Haiying Wan (J. Medical Syst., 2020)

Self-triggered finite-time H∞ control for Markov jump systems with multiple frequency ranges performance. - Haiying Wan; Hamid Reza Karimi; Xiaoli Luan; Fei Liu 001 (Inf. Sci., 2021)

Dynamic Self-Triggered Controller Codesign for Markov Jump Systems. - Haiying Wan; Xiaoli Luan; Hamid Reza Karimi; Fei Liu 001 (IEEE Trans. Autom. Control., 2021)

Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees. - Haiying Wan; Hamid Reza Karimi; Xiaoli Luan; Shuping He; Fei Liu 001 (Eng. Appl. Artif. Intell., 2023)

Self-triggered finite-time control for discrete-time Markov jump systems. - Haiying Wan; Xiaoli Luan; Vladimir Stojanovic; Fei Liu 001 (Inf. Sci., 2023)

Sensitivity analysis of the penicillin fermentation process model based on LHS-EPRCC. - Quan Li; Haiying Wan; Zhong-Gai Zhao; Fei Liu 001 (Comput. Chem. Eng., 2023)

Suboptimal Bayesian Filters for Markov Jump Linear Systems with Unknown Noise Covariance. - Shuang Gao; Xiaoli Luan; Biao Huang 001; Shunyi Zhao; Haiying Wan; Fei Liu 001 (ICCA, 2024)

Model-free aperiodic tracking for discrete-time systems using hierarchical reinforcement learning. - Yingqiang Tian; Haiying Wan; Hamid Reza Karimi; Xiaoli Luan; Fei Liu 001 (Neurocomputing, 2024)

Practical time-boundary consensus for fractional-order multi-agent systems under well-known and estimable topology. - Nengneng Qing; Yongqing Yang; Xiaoli Luan; Haiying Wan (Appl. Math. Comput., 2024)

Data-Driven Self-Triggered Control for Networked Motor Control Systems Using RNNs and Pre-Training: A Hierarchical Reinforcement Learning Framework. - Wei Chen; Haiying Wan; Xiaoli Luan; Fei Liu 001 (Sensors, 2024)

A Modular Robotic Arm Configuration Design Method Based on Double DQN with Prioritized Experience Replay. - Ziyan Ding; Haijun Tang; Haiying Wan; Chengxi Zhang; Ran Sun (Symmetry, 2024)

Dynamic Self-Triggered Control for Linear Systems Based on Hierarchical Strategy. - Chenyang Wang; Haiying Wan; Xiaoli Luan; Fei Liu 001 (ACC, 2025)

Hierarchical-based self-triggered control for linear systems with external disturbances. - Chenyang Wang; Haiying Wan; Xiaoli Luan; Fei Liu 001 (J. Frankl. Inst., 2025)

Improved adaptive snake optimization algorithm with application to multi-UAV path planning. - Peng Liu; Nianyi Sun; Haiying Wan; Chengxi Zhang; Jin Zhao; Guangwei Wang (Trans. Inst. Meas. Control, 2025)

Aperiodic speed tracking control of unmanned sightseeing vehicles based on hierarchical reinforcement learning. - Haiying Wan; Yingqiang Tian; Chenyang Wang; Xiaoli Luan; Hamid Reza Karimi; Fei Liu 001 (Int. J. Syst. Sci., 2025)