A convolutional neural network architecture for camera model identification with small datasets R Padmanabhan, S Damodaran, VN Batra, S Gurugopinath 2020 IEEE International Conference on Electronics, Computing and …, 2020 | 4 | 2020 |
A novel strategy with multiple models to improve performance of adaptive iterative learning control R Padmanabhan, M Bhushan, KK Hebbar, R Makam, K George 2021 IEEE International Conference on Electronics, Computing and …, 2021 | 3 | 2021 |
Discrete Robust Control of Robot Manipulators Using an Uncertainty and Disturbance Estimator R Padmanabhan, M Shetty, TS Chandar Journal of Dynamic Systems, Measurement, and Control 145 (5), 051002, 2023 | 2 | 2023 |
Second-Level Adaptation and Optimization for Multiple Model Adaptive Iterative Learning Control R Padmanabhan, M Bhushan, KK Hebbar, R Makam, K George 2021 Seventh Indian Control Conference (ICC), 289-294, 2021 | 2 | 2021 |
Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints R Padmanabhan, P Seiler arXiv preprint arXiv:2210.00644, 2022 | 1 | 2022 |
A Copula-Driven Unsupervised Learning Framework for Anomaly Detection with Multivariate Heterogeneous Data S Damodaran, R Padmanabhan, R Maahin, S Gurugopinath 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | 1 | 2021 |
Discrete‐time design and applications of uncertainty and disturbance estimator R Padmanabhan, M Shetty, TS Chandar International Journal of Robust and Nonlinear Control 31 (10), 4994-5015, 2021 | 1 | 2021 |
Multiple estimation models for discrete-time adaptive iterative learning control R Padmanabhan, R Makam, K George International Journal of Systems Science, 2024 | | 2024 |