Publications in Reverse Chronological Order

Book Chapter

D. Goswami and D. A. Paley, “Global Bilinearization and Reachability Analysis of Control-Affine Nonlinear Systems”, The Koopman Operator in Systems and Control: Concepts, Methodologies, and Applications, Springer International Publishing, 2020. [link]

S. Ataei, D. Maity, D. Goswami, “Koopman meets limited bandwidth: Effect of quantization on data-driven linear prediction and control of nonlinear systems”, submitted. [link]
S. M. Rajkumar, S. Cheng, N. Hovakimyan, D. Goswami, “Linear model predictive control for quadrotors with an analytically derived Koopman model”, submitted. [link]

S. Ataei, D. Maity, D. Goswami, “QSID-MPC: Model predictive control with system identification from quantized data”, to appear in IEEE Control Systems Letters. [link]
I. Nayak, A. Chakrabarti, D. Goswami, M. Kumar, F. Texeira, “Temporally-consistent Koopman autoencoders for forecasting dynamical systems”, to appear in Nature Scientific Reports. [link]

D. Goswami, A. Riggins, and D. A. Paley, “Data-driven prediction of urban micromobility: A study of dockless electric scooters”, IEEE Control Systems Magazine, vol. 42, no. 5, pp. 18-31, October 2022. [link]

D. Goswami and D. A. Paley, “Bilinearization, reachability, and optimal control of control-affine nonlinear systems: A Koopman Spectral Approach”, IEEE Transactions on Automatic Control, vol. 67, no. 6, pp. 2715 - 2728, June 2022. [link]
J. Lidard, D. Goswami, D. Snyder, G. Sedky, A. Jones, and D. A. Paley, “Feedback Control and Parameter Estimation for Lift Maximization of a Pitching Airfoil”, AIAA Journal of Guidance, Control, and Dynamics, vol. 44, no. 3, pp. 587-594, March, 2021. [link]
D. Goswami and D. A. Paley, “Non-Gaussian estimation and output feedback using the Gaussian Mixture Kalman Filter”, AIAA Journal of Guidance, Control, and Dynamics, vol. 44, no. 1, pp. 15-24, January, 2021. [link]

A. Wolek, S. Cheng, D. Goswami, and D. A. Paley, “Cooperative mapping and target search over an unknown occupancy graph using mutual information”, IEEE Robotics and Automation Letters, vol. 5, issue. 2, pp. 1071–1078, January 2020. [link]

D. Goswami , Emma Thackray, and D. A. Paley, “Constrained Ulam Dynamic Mode Decomposition: Approximation of the Perron-Frobenius Operator for Deterministic and Stochastic Systems”, IEEE Control Systems Letters, vol. 2, pp. 809-814, October 2018. [link]

D. Maity, D. Goswami, “On the effect of quantization on extended dynamic mode decomposition”, to appear at American Control Conference 2025. [link]
D. Goswami, “Feature-based echo-state networks: A step towards interpretability and minimalism in reservoir computer”, to appear at American Control Conference 2025. [link]
A. Chakrabarti, I. Nayak, D. Goswami, “Temporally-consistent bilinearly recurrent autoencoders for control systems”, to appear at American Control Conference 2025. [link]

D. Maity, D. Goswami, “On the effect of quantization on dynamic mode decomposition”, IEEE Conference on Decision and Control, pp. 8778-8785, Milan, Italy, December 2024.

D. Goswami, “Sequential learning from noisy data: Data-assimilation meets echo-state network”, IEEE Conference on Decision and Control, pp. 7675-7680, Singapore, December 2023. [link]
D. Goswami, “Delay embedded Echo-State Network: A predictor for partially observed systems”, IFAC World Congress, Yokohama, July 2023. [link]

D. Gurevich, D. Goswami, C. L. Fefferman, C. W. Rowley, “Optimal control with learning on the fly: System with unknown drift”, Proceedings of Machine Learning Research, vol. 168, pp. 870-880, presented in 4th Conference on Learning for Dynamics and Control, L4DC 2022, Stanford University. [link]

D. Goswami, A. Wolek, and D. A. Paley, “Data-driven estimation using an Echo-State Neural Network equipped with an Ensemble Kalman Filter”, American Control Conference, pp. 2543–2548, New Orleans, Louisiana, May 2021. [link]

J. Lidard, D. Goswami, D. Snyder, G. Sedky, A. Jones, and D. A. Paley, “Output feedback control for lift maximization of a pitching airfoil”, AIAA Scitech Forum, pp. 1-13, Orlando, Florida, January 2020. [link]

D. Goswami and D. A. Paley, “Global bilinearization and controllability of control-affine nonlinear systems: A Koopman spectral approach”, IEEE Conference on Decision and Control, pp. 6107-6112, Melbourne, Australia, December 2017. [link]
D. Goswami and D. A. Paley, “Non-Gaussian estimation and observer-based feedback using the Gaussian Mixture Kalman and Extended Kalman Filters”, American Control Conference, pp. 4550–4555, Seattle, Washington, May 2017. [link]