| Virtual Sensing of SI Engines Using Recurrent Neural Networks KPM Shivaram Kamat, Vivek Diwanji, Jessy Smith, Hossein Javaherian SAE TECHNICAL PAPER SERIES 2006-01-1348, SAE Congress 2006, 2006 | 12 | 2006 |
| Lane Keeping of Vehicle Using Model Predictive Control S Kamat IEEE 5th International Conference for Convergence in Technology (I2CT) , 2019, 2019 | 10 | 2019 |
| Developing ANN based Virtual/Soft Sensors for Industrial Problems S Kamat, KP Madhavan IFAC-PapersOnLine 49 (1), 100-105, 2016 | 9 | 2016 |
| Virtual air-fuel ratio sensors for engine control and diagnostics SS Kamat, H Javaherian, VV Diwanji, JG Smith, KP Madhavan American Control Conference, 2006, 7 pp., 2006 | 9 | 2006 |
| Modelling of HEV lithium-ion high voltage battery pack using dynamic data RK Junnuri, S Kamat, N Goyal, R Annamalai, D Modak, H Tashiro, ... IFAC Proceedings Volumes 47 (3), 6448-6453, 2014 | 8 | 2014 |
| Modeling of pH process using recurrent neural network and wavenet S Kamat, V Diwanji, JG Smith, KP Madhavan Computational Intelligence for Measurement Systems and Applications, 2005 …, 2005 | 8 | 2005 |
| Model Predictive Control Approaches for Lane Keeping of Vehicle S Kamat ACODS 2020, 2020 | 6 | 2020 |
| Model Predictive Control Approaches for Lane Keeping of Vehicle S Kamat IFAC’s Automatic Control and Dynamic Optimization (ACODS) conference, Feb 2020, 2020 | 6 | 2020 |
| Fault Diagnosis--Isolation of Malfunction in Power Transformers JG Smith, BV Rao, V Diwanji, S Kamat Published in ISA InTech, 2009 | 6 | 2009 |
| Model Predictive Control approaches for permanent magnet synchronous motor in virtual environment S Kamat, RK Junnuri Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE …, 2016 | 5 | 2016 |
| Optimization based System Identification of HEV Li-Ion Battery RK Junnuri, S Kamat, R Annamalai, N Goyal, H Tashiro, N Miwa Controls, Measurement and Calibration Congress, 2014 | 3 | 2014 |
| A Novel Approach for Sizing Battery and Supercapacitor for FCEV S Kamat 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 7, 2022 | 2 | 2022 |
| Modeling Virtual Sensor for Engine Nitrogen Oxides Using Variants of Artificial Neural Networks SL Shivaram Kamat, Parashuram Kapase, Priyank Jain SAE International, 2023 | | 2023 |
| A Two-Stage Dynamic Programming-Based Sizing of Hybrid Energy Storage System for Hybrid Electric Vehicles AC Shivaram Kamat, Kenneth Follen SAE International Journal of Electrified Vehicle 11 (1), 12, 2022 | | 2022 |
| Model Predictive Control Approaches for Induction Motor in Virtual Environment S Kamat, A Kamat 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical …, 2018 | | 2018 |
| Virtual Simulations in ECU Software Development SK Ramesh Kumar Junnuri, Ramanathan Annamalai Controls, Measurement & Calibration Congress, 2015, India, 2015 | | 2015 |
| Comparison of MPC Approaches for Idle Speed Control in Virtual Environment RY Shivaram Kamat, KP Madhavan Amit Kamat Controls, Measurement & Calibration Congress, 2015, India, 2015 | | 2015 |
| Model-based Fault Diagnosis of Nonlinear System using Intermediate ANN-Hammerstein Approach JG Smith, S Kamat, KP Madhavan Industrial Technology, 2006. ICIT 2006. IEEE International Conference on …, 2006 | | 2006 |
| 2006-01-1348 Virtual Sensing of SI Engines Using Recurrent Neural Networks S Kamat, V Diwanji, J Smith, H Javaherian, KP Madhavan SAE SP 2003, 349, 2006 | | 2006 |
| On-line Control of the Raw Mix Quality in Cement Plants RS J J Barve, S Kamat, V Diwanji, S Payasi International Symposium on Process Systems Engineering and Control- ISPSEC …, 2003 | | 2003 |
