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Ramesh Junnuri
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Modelling of HEV Lithium-Ion High Voltage Battery Pack Using Dynamic Data
R Junnuri, S Kamat, N Goyal, R Annamalai, D Modak, H Tashiro, N Miwa
IFAC World Congress 19 (1), 6448-6453, 2014
82014
Engine Coolant Temperature Modeling for Control and Diagnostics
RK Junnuri, A Kamat, T Tanpure, K Hamano, H Kobayashi, H Abe
SAE, 2015
62015
System identification using transfer matrix
J Barve, RK Junnuri
IEEE Conference on Robotics, Automation and Mechatronics, RAM 2004, 1124-1129, 2004
62004
Model Predictive Control approaches for permanent magnet synchronous motor in virtual environment
S Kamat, RK Junnuri
2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016
52016
Optimization based System Identification of HEV Li-Ion Battery
RK Junnuri, S Kamat, R Annamalai, N Goyal, H Tashiro, N Miwa
http://www.anv-congress.com/brazil/papers/CMC%20India%202014/CMC …, 2014
32014
Virtual Simulations in ECU Software Development
Ramesh Junnuri, Shivaram Kamat, Ramanathan Annamalai
CMC Congress 2015 2, 2015
22015
Model Predictive Control Approaches for Permanent Magnet Synchronous Motor in Virtual Environment
SK Ramesh Junnuri
IEEE Power Electronics, 2016
2016
Submersible Vehicle Modeling and Control using DTST
NKDK Ramesh Junnuri, KP Madhavan, Debabrata Sen
IME(I),The Institute of Marine Engineers (INDIA), IWCEM 2016, 2016
2016
Fault Diagnosis of Submersible Steering Gear Hydraulic Actuators
Ramesh Junnuri, AVNSV Krishna, NaveenKumar Dk, Prof. D Sen, E Arun Singh
IME(I), IWCEM 2015 4, 2015
2015
Modelling and Control of Steering Gear Hydraulic Actuators
Ramesh Junnuri, AVNSV Krishna, NaveenKumar Dk, KP Madhavan
IEEE, 2015
2015
NONLINEAR MODELLING AND SIMULATION OF INDUSTRIAL WET GRINDING PROCESS
VSSR Junnuri, K Mitra, J Barve
IFAC Proceedings Volumes 38 (1), 169-174, 2005
2005
MIMO system Identification of Activated Sludge Process using Transfer Function Matrix
RK Junnuri, J Barve
AIChE-IChE, 2004
2004
Fixed Structure Parametric Model Identification
RK Junnuri, J Barve
IEEE ACE 2003, 2003
2003
Model Predictive Control approaches for permanent magnet synchronous motor in virtual environment
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