L. Kalaivani
Affiliations:- National Engineering College, Kovilpatti, India
  According to our database1,
  L. Kalaivani
  authored at least 12 papers
  between 2014 and 2022.
  
  
Collaborative distances:
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Bibliography
  2022
Interval type-2 fuzzy logic controller based grid-tied solar PV inverter with active and reactive power control.
    
  
    J. Intell. Fuzzy Syst., 2022
    
  
An enhanced control method for torque ripple minimization of switched reluctance motor using hybrid technique.
    
  
    J. Intell. Fuzzy Syst., 2022
    
  
    Intell. Autom. Soft Comput., 2022
    
  
Energy Enhancement of Permanent Magnet Synchronous Generators Using Particle Swarm Optimization.
    
  
    Intell. Autom. Soft Comput., 2022
    
  
  2021
EECCRN: Energy Enhancement with CSS Approach Using Q-Learning and Coalition Game Modelling in CRN.
    
  
    Inf. Technol. Control., 2021
    
  
PSO Based Torque Ripple Minimization Of Switched Reluctance Motor Using FPGA Controller.
    
  
    Intell. Autom. Soft Comput., 2021
    
  
Performance enhancement of SRM using smart bacterial foraging optimization algorithm based speed and current PID controllers.
    
  
    Comput. Electr. Eng., 2021
    
  
  2020
Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks.
    
  
    Neural Comput. Appl., 2020
    
  
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks.
    
  
    Comput. Commun., 2020
    
  
  2019
A GOA-RNN controller for a stand-alone photovoltaic/wind energy hybrid-fed pumping system.
    
  
    Soft Comput., 2019
    
  
Collaborative approach on mitigating spectrum sensing data hijack attack and dynamic spectrum allocation based on CASG modeling in wireless cognitive radio networks.
    
  
    Clust. Comput., 2019
    
  
  2014
Non linear support vector machine based partial discharge patterns recognition using fractal features.
    
  
    J. Intell. Fuzzy Syst., 2014