Online Optimal Control of Wave Energy Converters via Adaptive Dynamic Programming. - Jing Na; Siyuan Zhan; Guang Li 002 (ACC, 2018)

Indefinite feedback MPC with preview information of bounded disturbance. - Siyuan Zhan; Guang Li 002 (CDC, 2018)

Linear Optimal Noncausal Control of Wave Energy Converters. - Siyuan Zhan; Guang Li 002 (IEEE Trans. Control. Syst. Technol., 2019)

Nonlinear Constrained Optimal Control of Wave Energy Converters With Adaptive Dynamic Programming. - Jing Na; Bin Wang 036; Guang Li 002; Siyuan Zhan; Wei He 001 (IEEE Trans. Ind. Electron., 2019)

Nonlinear Noncausal Optimal Control of Wave Energy Converters Via Approximate Dynamic Programming. - Siyuan Zhan; Jing Na; Guang Li 002 (IEEE Trans. Ind. Informatics, 2019)

Economic Feedback Model Predictive Control of Wave Energy Converters. - Siyuan Zhan; Guang Li 002; Colin Bailey (IEEE Trans. Ind. Electron., 2020)

Computationally efficient infinite-horizon indefinite model predictive control with disturbance preview information. - Siyuan Zhan; Wen-Hua Chen 001; Thomas Steffen; John V. Ringwood (Autom., 2022)

Empowering wave energy with control technology: Possibilities and pitfalls. - John V. Ringwood; Siyuan Zhan; Nicolás Faedo (Annu. Rev. Control., 2023)

An Offline Closed-Form Optimal Predictive Power Management Strategy for Plug-In Hybrid Electric Vehicles. - Siyuan Zhan; William J. B. Midgley; Wen-Hua Chen 001; Thomas Steffen (IEEE Trans. Control. Syst. Technol., 2023)

A Fast Model Predictive Control Framework for Multi-Float and Multi-Mode-Motion Wave Energy Converters. - Siyuan Zhan; Peter Stansby; Zhijing Liao; Guang Li 002 (IEEE Trans. Control. Syst. Technol., 2023)

Graph collaborative filtering-based bug triaging. - Jie Dai; Qingshan Li; Hui Xue; Zhao Luo; Yinglin Wang; Siyuan Zhan (J. Syst. Softw., 2023)

Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems. - Jianglin Lan; Siyuan Zhan; Ron Patton; Xianxian Zhao (CoRR, 2024)

Model-Free Linear Noncausal Optimal Control of Wave Energy Converters via Reinforcement Learning. - Siyuan Zhan; John V. Ringwood (IEEE Trans. Control. Syst. Technol., 2024)