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ORCIDElumalai Vinodh Kumar
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2020 – today
- 2024
[j16]Joshi Kumar Viswanadhapalli
, Elumalai Vinodh Kumar, Shivram S., Sweta Shah, Dhruv Mahajan:
Deep reinforcement learning with reward shaping for tracking control and vibration suppression of flexible link manipulator. Appl. Soft Comput. 152: 110756 (2024)- [j15]Prabhavathy T., Elumalai Vinodh Kumar, Balaji E.:
Gesture recognition framework for upper-limb prosthetics using entropy features from electromyographic signals and a Gaussian kernel SVM classifier. Appl. Soft Comput. 167: 112382 (2024) - [j14]Balaji E., Elumalai Vinodh Kumar, Dhanasekaran Sandhiya, R. M. Swarna Priya, S. P. Shantharajah:
Parkinson's disease detection and stage classification: quantitative gait evaluation through variational mode decomposition and DCNN architecture. Connect. Sci. 36(1) (2024) - [j13]Prabhavathy T., Elumalai Vinodh Kumar, Balaji E., Dhanasekaran Sandhiya:
A surface electromyography based hand gesture recognition framework leveraging variational mode decomposition technique and deep learning classifier. Eng. Appl. Artif. Intell. 130: 107669 (2024) - [j12]Prabhavathy T., Elumalai Vinodh Kumar, Balaji E.:
Hand gesture classification framework leveraging the entropy features from sEMG signals and VMD augmented multi-class SVM. Expert Syst. Appl. 238(Part E): 121972 (2024) - [j11]Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar:
Nonlinear stabilization and reference tracking of visual servo system using TS fuzzy augmented iterative learning control: Experimental validation. Trans. Inst. Meas. Control 46(2): 301-315 (2024) - 2022
- [j10]Selvakumar Karuppusamy, Elumalai Vinodh Kumar, M. Sailesh, Mamtani Varun, Anbu Allan, Nanda Biswajit, Panga Namrata, Sivaramakrishnan Upasana:
Realtime PPG based respiration rate estimation for remote health monitoring applications. Biomed. Signal Process. Control. 77: 103746 (2022) - 2021
- [j9]Balaji E., Brindha D., Elumalai Vinodh Kumar, Vikrama R.:
Automatic and non-invasive Parkinson's disease diagnosis and severity rating using LSTM network. Appl. Soft Comput. 108: 107463 (2021) - [j8]Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar:
Hardware-in-the-loop testing of current cycle feedback ILC for stabilisation and tracking control of under-actuated visual servo system. Int. J. Syst. Sci. 52(5): 1042-1060 (2021) - 2020
- [j7]Joshua Sunder David Reddipogu, Elumalai Vinodh Kumar:
Hardware in the Loop Testing of Adaptive Inertia Weight PSO-Tuned LQR Applied to Vehicle Suspension Control. J. Control. Sci. Eng. 2020: 8873995:1-8873995:16 (2020) - [j6]Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar, Shantanu Agrawal:
Current cycle feedback iterative learning control for tracking control of magnetic levitation system. Trans. Inst. Meas. Control 42(3): 543-550 (2020) - [j5]Vimala Kumari Jonnalagadda, Elumalai Vinodh Kumar, Harvir Singh, Amit Prasad:
Nonlinear control design using Takagi-Sugeno fuzzy applied to under-actuated visual servo system. Trans. Inst. Meas. Control 42(15): 2969-2983 (2020)
2010 – 2019
- 2018
- [j4]Rashmi Ranjan Das, Elumalai Vinodh Kumar, Raaja Ganapathy Subramanian, Kadiyam Venkata Ashok Kumar:
Adaptive predator-prey optimization for tuning of infinite horizon LQR applied to vehicle suspension system. Appl. Soft Comput. 72: 518-526 (2018) - 2017
- [j3]Ganapathy Subramanian Raaja, Elumalai Vinodh Kumar, Selvakumar Karuppusamy, Vamsi Krishna Canchi:
Uniform ultimate bounded robust model reference adaptive PID control scheme for visual servoing. J. Frankl. Inst. 354(4): 1741-1758 (2017) - 2016
- [j2]Elumalai Vinodh Kumar, Ganapathy Subramanian Raaja, Jovitha Jerome:
Adaptive PSO for optimal LQR tracking control of 2 DoF laboratory helicopter. Appl. Soft Comput. 41: 77-90 (2016) - [j1]Ganapathy Subramanian Raaja, Elumalai Vinodh Kumar:
Robust MRAC augmented baseline LQR for tracking control of 2 DoF helicopter. Robotics Auton. Syst. 86: 70-77 (2016)
Coauthor Index
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