A Gas Analysis Model with Uninformative Variable Elimination Using Nonlinearity Compensation by RBFNN. - Panpan Zhang; Yanbin Zhang; Hui Cao 003; Zonglin Ye; Dapeng Yan; Shuangsi Xue (ICARM, 2019)

Fuzzy Model-Based Asynchronous Control for Markov Switching Systems with Stochastic Fading Channels. - Fayuan Wu; Jinhui Tang 002; Zhuang Liu; Qi Xiao; Xiaodong Zheng; Shuangsi Xue (Complex., 2020)

Graph-Based Knowledge Acquisition With Convolutional Networks for Distribution Network Patrol Robots. - Dapeng Yan; Hui Cao 003; Tao Wang; Ruilin Chen; Shuangsi Xue (IEEE Trans. Artif. Intell., 2021)

Nash Equilibrium Solution Based on Safety-Guarding Reinforcement Learning in Nonzero-Sum Game. - Junkai Tan; Shuangsi Xue; Hui Cao 003; Huan Li (ICARM, 2023)

Safe Human-Machine Cooperative Game with Level-k Rationality Modeled Human Impact. - Junkai Tan; Shuangsi Xue; Hui Cao 003; Huan Li (ICDL, 2023)

Distributed edge-event-triggered consensus of multi-agent system under DoS attack. - Shuangsi Xue; Huan Li; Hui Cao 003; Junkai Tan (Pattern Recognit. Lett., 2023)

Safe Stabilization Control for Interconnected Virtual-Real Systems via Model-based Reinforcement Learning. - Junkai Tan; Shuangsi Xue; Huan Li; Hui Cao 003; Dongyu Li (ASCC, 2024)

Fixed-Time Fault-Tolerant Control for Robotic Manipulators Based on Bias Neural Network with Input Saturation. - Zihang Guo; Shuangsi Xue; Huan Li; Junkai Tan; Xiaodong Zheng; Liangliang Xia; Hui Cao 003 (ICIRA (4), 2024)

ExpertAP: Leveraging Multi-unit Operational Patterns for Advanced Turbine Anomaly Prediction. - Yuanxian Liang; Xiaodong Zheng; Dongjun Pang; Wenhao Zhu; Maoyuan Liu; Shuangsi Xue; Hui Cao 003 (ICIRA (8), 2024)

Leader-Following Formation Tracking of Multiagent Systems Using Adaptive Scaling Mechanism Under Spatial Constraints. - Shuangsi Xue; Jinyu Liu; Hui Cao 003; Xiaodong Zheng; Huan Li; Jie Zhang 118 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Dynamic embedding-based deep reinforcement learning for heterogeneous capacitated VRPs with unloading time constraints. - Qingshu Guan; Shuangsi Xue; Junkai Tan; Lixin Jia; Hui Cao 003; Badong Chen (Expert Syst. Appl., 2025)

Diverse route-driven deep reinforcement learning for vehicle routing problems. - Qingshu Guan; Hui Cao 003; Tiansen Niu; Lixin Jia; Shuangsi Xue; Badong Chen (Neurocomputing, 2025)

Neural observer-based fixed-time formation control of multiagent systems. - Zihang Guo; Shuangsi Xue; Junkai Tan; Huan Li; Dapeng Yan; Hui Cao 003 (Neurocomputing, 2025)

Data-driven optimal shared control of unmanned aerial vehicles. - Junkai Tan; Shuangsi Xue; Zihang Guo; Huan Li; Hui Cao 003; Badong Chen (Neurocomputing, 2025)

Short-term wind power forecasting with small-sample datasets using an attention-enhanced domain-adversarial neural network. - Shang Xiang; Kai Qu; Ying Tian; Shuangsi Xue; Hui Cao 003 (Neurocomputing, 2025)

Finite-time safe reinforcement learning control of multi-player nonzero-sum game for quadcopter systems. - Junkai Tan; Shuangsi Xue; Qingshu Guan; Kai Qu; Hui Cao 003 (Inf. Sci., 2025)

Hybrid observer-based fixed-time tracking control for constrained nonlinear systems. - Zihang Guo; Shuangsi Xue; Huan Li; Junkai Tan; Dapeng Yan; Hui Cao 003 (J. Frankl. Inst., 2025)

Hierarchical Safe Reinforcement Learning Control for Leader-Follower Systems With Prescribed Performance. - Junkai Tan; Shuangsi Xue; Huan Li; Zihang Guo; Hui Cao 003; Badong Chen (IEEE Trans Autom. Sci. Eng., 2025)

Prescribed Performance Robust Approximate Optimal Tracking Control via Stackelberg Game. - Junkai Tan; Shuangsi Xue; Huan Li; Zihang Guo; Hui Cao 003; Dongyu Li (IEEE Trans Autom. Sci. Eng., 2025)

Sensitivity-Based Heterogeneous Ordered Multi-Agent Reinforcement Learning for Distributed Volt-Var Control in Active Distribution Network. - Xiaodong Zheng; Shixuan Yu; Hui Cao 003; Tianzhuo Shi; Shuangsi Xue; Tao Ding (IEEE Trans. Smart Grid, 2025)