Observer-based output feedback control for networked systems with dual-channel event-triggered sampling and quantization. - Pengtao Song; Qingyu Yang; Guangrui Wen; Zhifen Zhang (J. Frankl. Inst., 2022)

Observer-based $H_{ infty}$ Sliding Mode Control for Networked Systems with Stochastic Communication Protocol and Packet Loss. - Pengtao Song; Qingyu Yang; Donghe Li; Yuheng Wu (ASCC, 2024)

TAMTL: A Novel Meta-Transfer Learning Approach for Fault Diagnosis of Rotating Machinery. - Yuheng Wu; Qingyu Yang; Donghe Li; Pengtao Song (ASCC, 2024)

Adversarial attacks on deep reinforcement learning applications in electric vehicle charging scheduling: A dual-stage attack framework. - Zhenhua Peng; Qingyu Yang; Donghe Li; Feiye Zhang; Pengtao Song (Appl. Soft Comput., 2025)

Charge or Pick Up? Optimizing E-Taxi Management: A Dual-Stage Heuristic Coordinated Reinforcement Learning Approach. - Donghe Li; Chunlin Hu; Qingyu Yang; Pengtao Song; Feiye Zhang; Dou An (IEEE Trans Autom. Sci. Eng., 2025)

Disturbance-Compensation-Based Predictive Sliding Mode Control for Aero-Engine Networked Systems With Multiple Uncertainties. - Pengtao Song; Qingyu Yang; Donghe Li; Guangrui Wen; Zhifen Zhang; Jingbo Peng (IEEE Trans Autom. Sci. Eng., 2025)