Journal Articles

1. R. Padmanabhan and P. Seiler, “Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints,” accepted to IEEE Transactions on Automatic Control, 2024. [Available at arXiv: 2210.00644]

2. R. Padmanabhan, R. Makam and K. George, “Multiple Estimation Models for Discrete-time Adaptive Iterative Learning Control,” International Journal of Systems Science, 55(10), pp. 2154-2171, 2024. [Available at arXiv:2203.11892]

3. R. Padmanabhan, M. Shetty and T. S. Chandar, “Discrete Robust Control of Robot Manipulators using an Uncertainty and Disturbance Estimator,” Journal of Dynamic Systems, Measurement and Control, 145(5): 051022, May 2023. [Available at arXiv: 2203.03805]

4. R. Padmanabhan, M. Shetty and T. S. Chandar, “Discrete-Time Design and Applications of Uncertainty and Disturbance Estimator,” International Journal of Robust and Nonlinear Control, 31(10), pp. 4994-5015, Jul. 2021.

Conference Papers

1. R. Padmanabhan, C. Bakker, S. A. Dinkar, and M. Ornik, “How Much Reserve Fuel: Quantifying the Maximal Energy Cost of System Disturbances,” in 2024 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy, Dec. 2024. [Available at arXiv: 2408.10913]

2. R. Padmanabhan, M. Bhushan, K. K. Hebbar, R. Makam, and K. George, “Second-Level Adaptation and Optimization for Multiple Model Adaptive Iterative Learning Control,” in 2021 Seventh Indian Control Conference, Mumbai, India, Dec. 2021, pp. 289-294. (Virtual).

3. S. Damodaran, R. Padmanabhan, R. Maahin and S. Gurugopinath, “A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data,” in 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, Gold Coast, Queensland, Australia, Oct. 2021. (Virtual).

4. R. Padmanabhan, M. Bhushan, K. K. Hebbar, R. Makam and K. George, “A Novel Strategy with Multiple Models to Improve Performance of Adaptive Iterative Learning Control,” in 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bengaluru, India, Jul. 2021. (Virtual).

5. R. Padmanabhan, S. Damodaran, V. N. Batra and S. Gurugopinath, “A Convolutional Neural Network Architecture for Camera Model Identification with Small Datasets,” in 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bengaluru, India, Jul. 2020. (Virtual).