Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths. - Shanglei Guan; Zhihe Zhuang; Hongfeng Tao; Yiyang Chen; Vladimir Stojanovic; Wojciech Paszke (Trans. Inst. Meas. Control, 2023)

Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets. - Zhihe Zhuang; Hongfeng Tao; Yiyang Chen; Tom Oomen; Wojciech Paszke; Eric Rogers (J. Frankl. Inst., 2023)

An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints. - Zhihe Zhuang; Hongfeng Tao; Yiyang Chen; Vladimir Stojanovic; Wojciech Paszke (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Design of indirect-type iterative learning control for continuous-time batch processes with the repetitive process setting. - Robert Maniarski; Wojciech Paszke; Hongfeng Tao; Zhihe Zhuang (ASCC, 2024)

Non-lifted norm optimal iterative learning control for networked dynamical systems: A computationally efficient approach. - Luyuan Gao; Zhihe Zhuang; Hongfeng Tao; Yiyang Chen; Vladimir Stojanovic (J. Frankl. Inst., 2024)

Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism. - Yujuan Tao; Hongfeng Tao; Zhihe Zhuang; Vladimir Stojanovic; Wojciech Paszke (Trans. Inst. Meas. Control, 2024)