ResearchDuring my Ph.D. study, I focused on the design and analysis of iterative learning control algorithms for non-strictly repetitive scenarios. In particular, I worked on using the method of alternating projections to design optimization-based iterative learning control algorithms for systems with varying trial lengths. I have also worked on the direct data-based design of iterative learning control by introducing reinforcement learning. If you are interested in any of the papers listed here, please feel free to send me an e-mail. I'm happy to discuss any topic! Working Manuscripts[W3] Data-enabled iterative learning control: A zero-sum game design for varying time-scale tasks [W2] Minimum-energy iterative learning control for multi-agent systems with optimal intermediate-point allocation [W1] Constraint-aware ILC: A computationally efficient approach via alternating projections Journal Publications[J8] Non-lifted norm optimal iterative learning control for networked dynamical systems: A computationally efficient approach [J7] Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism [J6] Q-learning based fault estimation and fault tolerant iterative learning control for MIMO systems [J5] Alternating projection-based iterative learning control for discrete-time systems with non-uniform trial lengths [J4] Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets [J3] Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths [J2] An optimal iterative learning control approach for linear systems with nonuniform trial lengths under input constraints [J1] Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection Peer-reviewed Conference Publications[C5] Design of indirect-type iterative learning control for continuous-time batch processes with the repetitive process setting [C4] Projection-based iterative learning control for linear systems with flexible tasks [C3] A norm optimal iterative learning control approach with efficient computation [C2] An optimal iterative learning control design framework for systems with varying trial lengths [C1] Optimal iterative learning control of quantized signals based on encoding-decoding method Non-peer-reviewed Presentations and Posters[PP1] Alternating projection-based optimal ILC for linear systems with non-uniform trial lengths under input constraints Journal Review
Conference Review
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