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Dr. Arun Neelimegham K. M.
Dr. Arun Neelimegham K. M.
Assistant Professor
Office Address:
Department of Electrical Engineering NIT Calicut 673601
B.Tech, Electrical and Electronics, Acharya Nagarjuna University
M.Tech, Electrical with Instrumentation and Control Specialisation, Nit Calicut
Ph.D, Fuzzy PID control systems, IIT Kharagpur
Educational Qualifications
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B.Tech, Electrical and Electronics, Acharya Nagarjuna University
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M.Tech, Electrical with Instrumentation and Control Specialisation, Nit Calicut
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Ph.D, Fuzzy PID control systems, IIT Kharagpur
Journals Indexed in SCI
- N. K. Arun and B. M. Mohan. “Modelling, stability analysis and computational aspects of some simplest nonlinear fuzzy two-term controllers derived via center of area/gravity defuzzification." ISA Transactions, vol. 70, September, 2017.
- N. K. Arun and B. M. Mohan. “Modeling, stability analysis and computational aspects of nonlinear fuzzy PID controllers." Journal of Intelligent and Fuzzy Systems, vol. 31, no. 3, pp. 1807-1818, 2016.
- K. M. A. Neelimegham and Murali Mohan Bosukonda. “Mathematical modeling and computational study of the simplest fuzzy two-term controllers via height defuzzification.'' Journal of Intelligent and Fuzzy Systems, vol. 29, no. 5, pp. 1817-1826, 2015.
Journals Indexed in Scopus
- N. K. Arun and B. M. Mohan. “Mathematical modelling of the simplest fuzzy two-input two-output proportional integral or proportional derivative controller via Larsen product inference." International Journal of Automation and Control, vol. 10, no. 1, pp. 34-51, 2016.
- N. K. Arun and B. M. Mohan. “Modelling, stability analysis and computational aspects of nonlinear fuzzy PID controllers using Mamdani minimum inference." International Journal of Automation and Control, vol. 12, no.1, pp. 153-174, 2018.
- N. K. Arun and B. M. Mohan. “Analytical Modeling of the Simplest Nonlinear Fuzzy TITO PI/PD Controller via Mamdani Minimum Inference.” IFAC-PapersOnLine vol. 51, no. 1, pp. 323-328, 2018.
- N. K. Arun and B. M. Mohan. “Modeling and computational aspects of nonlinear fuzzy TITO PI/PD controller via height defuzzification.” IFAC-PapersOnLine vol. 51, no. 1, pp. 347-352, 2018.
Core and Applications
I am currently interested in the following
Design of Takagi Sugeno controllers using LMIs
Type 2 Takagi Sugeno controller modelling
Control in Internet of Things
Nonlinear control
Intelligent Integral Resonant Control for vibration damping
Smart Instrumentation systems
Iterative Learning Control
Gold medal for securing highest CGPA in specialization during M.Tech