EventsThe 1st International Electronic Conference on Processes: Processes System Innovation
Event submissions
Published
with-doi10.3390/ECP2022-12631
This submission belongs to the session 3. Energy Systems of the event The 1st International Electronic Conference on Processes: Processes System Innovation
Published date
25 May, 2022
Academic Editor
author-avatarAndrey Yaroslavtsev
Citation
Dr. Nalini Duraisamy, Priya M, Karthikeyan S, Mohamed Badcha Y, Dr. Nalini Duraisamy, Machine Learning - Gaussian Process Regression (ML-GPR) based Robust H-infinity controller design for Solar PV System to achieve High Performance and Guarantee Stability, in Proceedings of The 1st International Electronic Conference on Processes: Processes System Innovation, 17 May–31 May 2022, MDPI: Basel, Switzerland, doi: 10.3390/ECP2022-12631
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Machine Learning - Gaussian Process Regression (ML-GPR) based Robust H-infinity controller design for Solar PV System to achieve High Performance and Guarantee Stability

Dr. Nalini Duraisamy 1,2,3
Mohamed Badcha Y 1,2,3
Priya M 2,3,4
Karthikeyan S 2,3,5
Dr. Nalini Duraisamy 1,2,3
1. Associate Professor
2. Department of Electrical and Electronics Engineering
3. J.J. College of Engineering and Technology, Trichy (India)
4. Assistant Professor (Senior Grade)
5. Assistant Professor
Abstract
Keywords
Renewable Energy
Solar PV
Machine Learning
H-infinity
Stability
Uncertainty