Research Papers, Thesis and Presentations

Peer-Reviewed Papers

[1] L. Chen and J. W. Simpson-Porco, “Data-Driven Output Regulation Using Single-Gain Tuning Regulators,” 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 2903-2909. [PDF]

[2] L. Chen and J. W. Simpson-Porco, “A Fixed-Point Algorithm for the AC Power Flow Problem,” 2023 American Control Conference (ACC), San Diego, CA, USA, 2023, pp. 4449-4456. [PDF] [Code] [Poster]

[3] A. Melnikov, L. Chen, D. R. Venegas, K. Sivagurunathan, Q. Sun, A. Mandelis, and I. R. Rodriguez, “Single frequency thermal wave radar: A next-generation dynamic thermography for quantitative non-destructive imaging over wide modulation frequency ranges,” Review of Scientific Instruments, vol. 89, Apr. 2018. [PDF]

Others

[1] L. Chen and J. E. Tate, “Hot-Starting the Ac Power Flow with Convolutional Neural Networks,” Apr. 2020. [PDF] [Code]

Thesis

[1] L. Chen, “A fixed-point algorithm for the AC power flow problem,” M.A.Sc. Thesis, University of Toronto, 2022. [PDF] [Slides]

Talks

[1] “Data-Driven Output Regulation Using Single-Gain Tuning Regulators,” IEEE Conference on Decision and Control (CDC), December 2023. [Slides]

[2] “A fixed-point algorithm for the AC power flow problem (Extended version),” (invited presentation by Prof. Ryozo Nagamune) University of British Columbia, June 2023. [Slides]

[3] “A fixed-point algorithm for the AC power flow problem,” American Control Conference, May 2023. [Slides]