Neelimegham Arun

Employment

• National Institute of Technology Calicut Assistant Professor
  2020 - 2037

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• A novel LMI-based stabilization framework for TS fuzzy time-delay systems: Achieving higher delay bounds via extended reciprocally convex methods
  ISA Transactions 2025 DOI: 10.1016/j.isatra.2025.10.022
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• Nonlinear PI or PD Controller using Fuzzy Logic-Analytical Modelling, and Computational and Performance Analysis
  Proceedings of 2020 IEEE Applied Signal Processing Conference, ASPCON 2020 2020 DOI: 10.1109/ASPCON49795.2020.9276683
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• Analytical Modeling of the Simplest Nonlinear Fuzzy TITO PI/PD Controller via Mamdani Minimum Inference
  IFAC-PapersOnLine 2018 DOI: 10.1016/j.ifacol.2018.05.038
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• Modeling and Computational Aspects of Nonlinear Fuzzy TITO PI/PD Controller via Height Defuzzification
  IFAC-PapersOnLine 2018 DOI: 10.1016/j.ifacol.2018.05.046
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• Modelling, stability analysis and computational aspects of nonlinear fuzzy PID controllers using Mamdani minimum inference
  International Journal of Automation and Control 2018 DOI: 10.1504/IJAAC.2018.088601
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• A nonlinear fuzzy PID controller via algebraic product AND-maximum OR-Height defuzzification
  2016 IEEE Students' Technology Symposium, TechSym 2016 2017 DOI: 10.1109/TechSym.2016.7872657
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• Modeling, stability analysis, and computational aspects of some simplest nonlinear fuzzy two-term controllers derived via center of area/gravity defuzzification
  ISA Transactions 2017 DOI: 10.1016/j.isatra.2017.04.023
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• A nonlinear fuzzy PID controller via algebraic product AND-maximum OR-Larsen product inference
  IFAC-PapersOnLine 2016 DOI: 10.1016/j.ifacol.2016.03.111
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• 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 2016 DOI: 10.1504/IJAAC.2016.075139
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• Modeling, stability analysis and computational aspects of nonlinear fuzzy PID controllers
  Journal of Intelligent and Fuzzy Systems 2016 DOI: 10.3233/JIFS-152626
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