The book presents select proceedings of the First International Conference on Systems, Control, and Automation (ICSCA 2023) held at the National Institute of Technology, Kurukshetra. It covers topics such as systems, control and automation, sensors, robotics and automation, signals analysis, conditioning and monitoring, circuits and systems, computational intelligence and automation, etc. The book will be useful for researchers and professionals interested in the broad fields of automation.
The book presents select proceedings of the First International Conference on Systems, Control, and Automation (ICSCA 2023) held at the National Institute of Technology, Kurukshetra. It covers topics such as systems, control and automation, sensors, robotics and automation, signals analysis, conditioning and monitoring, circuits and systems, computational intelligence and automation, etc. The book will be useful for researchers and professionals interested in the broad fields of automation.
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J. S. Lather obtained his B.E. in Electrical Engineering from SV National Institute of Technology, Surat, in 1990. He obtained his M.Tech. degree in Control Systems in 1993 from REC Kurukshetra, and PhD degree in the area of robust control in 2004 from Kurukshetra University, Kurukshetra. He joined REC Kurukshetra faculty in 1994. He has 30 years of experience in teaching and research at NIT Kurukshetra. Currently, he serves as a Professor in the Department of Electrical Engineering at the National Institute of Technology, Kurukshetra. His research areas include robust control, time delay systems, microgrid operations and control, multi-agent systems - consensus and control, and machine learning applications to engineering systems. Arunesh Kumar Singh is affiliated with the Department of Electrical Engineering at Jamia Millia Islamia, New Delhi. He completed his undergraduate studies in Electrical Engineering and obtained his M.Tech. in Engineering Systems from the Faculty of Engineering, Dayalbagh Educational Institute (Deemed University), Dayalbagh, Agra in 2002 and 2004, respectively. He earned his Ph.D. in Electrical Engineering from Jamia Millia Islamia (A Central University), New Delhi, in 2011. Moreover, he was granted a Postdoctoral Fellowship (PDF) for 17 months from the University of Saskatchewan under Discovery Grant-NSERC, Canada to pursue research in Neuro-Control Systems. He has over 20 years of experience in teaching and industry and actively guides research scholars at UG, PG, and Ph.D. levels. His research areas comprise intelligent systems, neuro-control systems, energy systems, electric vehicle control, eddy current braking systems, and neuro and machine controls. Recently, he has got a research grant of 50 Lakhs approx. from SERB for a research project on smart eddy current systems. He has published numerous research papers in prestigious national and international journals and conferences. Gangireddy Sushnigdha earned her B.Tech. degree in Electrical and Electronics Engineering from JNTU Kakinada, Andhra Pradesh, India in 2010, and her M.Tech degree with a specialization in Control Systems from Electrical Engineering, National Institute of Technology Kurukshetra, India in 2012. She then pursued her Ph.D. degree in Aerospace Engineering from the Indian Institute of Technology Bombay, India in 2019. Since 2019, she has been serving as an Assistant Professor in the Department of Electrical Engineering at Sardar Vallabhbhai National Institute of Technology Surat, India. She has 16 publications in reputed Journals and International Conferences. Her research interests include guidance and trajectory optimization of entry vehicles, path planning of autonomous vehicles, developing meta-heuristic algorithms, and application of artificial intelligence-based techniques to optimal control problems. She has been honored with a gold medal for achieving the top position among graduating students in M.Tech, Control Systems from the National Institute of Technology Kurukshetra.
Inhaltsangabe
Design of a Transimpedance Amplifier for Self mixing Optical Feedback System.- A Frequency Reconfigurable Hexagonal Shaped Fractal MIMO Antenna for LTE.- Design of a Transimpedance Amplifier for Self-mixing Optical Feedback System.- Optimized path planning based on ACO fused with a modified Bezier technique.
Design of a Transimpedance Amplifier for Self mixing Optical Feedback System.- A Frequency Reconfigurable Hexagonal Shaped Fractal MIMO Antenna for LTE.- Design of a Transimpedance Amplifier for Self-mixing Optical Feedback System.- Optimized path planning based on ACO fused with a modified Bezier technique.
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