Publications

You can also find my articles on my Google Scholar profile.

Journal articles

  1. Darshan Gadginmath, Vishaal Krishnan, and Fabio Pasqualetti. “Data-driven feedback linearization using the Koopman generator.” IEEE Transactions on Automatic Control, to appear(2024).

Conference proceedings

  1. Shiqi Zhang, Darshan Gadginmath, and Fabio Pasqualetti. “Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator.” arXiv preprint arXiv:2406.02723 (2024).

  2. Karthik Elamvazhuthi, Darshan Gadginmath, and Fabio Pasqualetti. “Denoising Diffusion-Based Control of Nonlinear Systems.” 2024 63rd IEEE Conference on Decision and Control (CDC). IEEE, 2024 (To appear).

  3. Claudio De Persis, Darshan Gadginmath, Fabio Pasqualetti, Pietro Tesi. “Data-Driven Feedback Linearization with Complete Dictionaries.” 2023 62nd IEEE Conference on Decision and Control (CDC). IEEE, 2023.

  4. Darshan Gadginmath, Vishaal Krishnan, and Fabio Pasqualetti. “Direct vs indirect methods for behavior-based attack detection.” 2022 IEEE 61st Conference on Decision and Control (CDC). IEEE, 2022.

  5. Darshan Gadginmath, Pavankumar Tallapragada. “Data-guided distributed intersection management for connected and automated vehicles.” 2022 American Control Conference (ACC). IEEE, 2022.

Pre-prints

  1. Claudio De Persis, Darshan Gadginmath, Fabio Pasqualetti, Pietro Tesi, “Feedback Linearization from the lens of data.” arXiv preprint arXiv:2308.11229 (2024).

  2. Darshan Gadginmath, Shivanshu Tripathi, and Fabio Pasqualetti. “Fusing Multiple Algorithms for Heterogeneous Online Learning.” arXiv preprint arXiv:2312.05432 (2023).