| Performance improvement in MPC with time-varying horizon via switching S Prabhu, K George 11th IEEE International Conference on Control & Automation (ICCA), 168-173, 2014 | 6 | 2014 |
| An online multiple-model approach to univariate time-series prediction K George, S Prabhu, P Mutalik Proceedings of ELM-2014 Volume 1: Algorithms and Theories, 215-224, 2015 | 3 | 2015 |
| Switching between multiple performance criteria to improve performance K George, S Prabhu, S Suryanarayanan, TB Nagesh 2012 IEEE Conference on Control, Systems & Industrial Informatics, 10-15, 2012 | 3 | 2012 |
| Introducing robustness in model predictive control with multiple models and switching S Prabhu, K George Control Theory and Technology 12, 284-303, 2014 | 2 | 2014 |
| Incremental modelling of transcriptional regulatory networks HRS Prabhu, HL Wei 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 1 | 2017 |
| Preprocessing Graphs for Network Inference Applications. HRS Prabhu, HL Wei ICINCO (1), 406-413, 2017 | 1 | 2017 |
| On the improvement of set-point tracking performance of model predictive control S Prabhu, K George IFAC Proceedings Volumes 47 (1), 599-606, 2014 | 1 | 2014 |
| BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation HR Sachin Prabhu, HL Wei Informatics in Control, Automation and Robotics: 14th International …, 2020 | | 2020 |
| A Network Component Analysis based Divide and Conquer Method for Transcriptional Regulatory Network Analysis S Prabhu Haladi Ramanatha University of Sheffield, 2019 | | 2019 |
Koshy GeorgeGITAM University, BangaloreVerified email at ieee.org
