Chandan Chakraborty mainly investigates Control theory, Control engineering, Stator, Induction motor and Voltage. Chandan Chakraborty specializes in Control theory, namely Control theory. He works mostly in the field of Control theory, limiting it down to concerns involving MATLAB and, occasionally, Counter-electromotive force.
His Control engineering study combines topics in areas such as Vector control, MRAS, AC power and Artificial neural network. Chandan Chakraborty combines subjects such as Bearing, Nuclear magnetic resonance, Rotor and Electromagnet with his study of Stator. While the research belongs to areas of Induction motor, Chandan Chakraborty spends his time largely on the problem of Rotating reference frame, intersecting his research to questions surrounding Current, Signal and Convergence.
His primary scientific interests are in Control theory, Voltage, Electronic engineering, Artificial intelligence and Capacitor. His Control theory study combines topics from a wide range of disciplines, such as Control engineering, Induction motor, AC power and Stator. Chandan Chakraborty has included themes like MRAS, Steady state, Harmonics, Adaptive control and Adaptive system in his AC power study.
The various areas that he examines in his Electronic engineering study include Three-phase, Topology, Forward converter, Photovoltaic system and Active filter. His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition. His Capacitor research is multidisciplinary, incorporating perspectives in Pulse-width modulation, Inductor and Waveform.
His scientific interests lie mostly in Voltage, Control theory, Electrical engineering, Capacitor and Artificial intelligence. His study in Voltage focuses on Inverter in particular. His work carried out in the field of Control theory brings together such families of science as Induction motor, Voltage regulation, Pulse-width modulation, AC power and Stator.
His Electrical engineering research includes themes of Power and Generator. Chandan Chakraborty has researched Capacitor in several fields, including Open-loop controller and Topology. His Artificial intelligence study incorporates themes from Breast cancer, Computer vision and Pattern recognition.
Chandan Chakraborty spends much of his time researching Control theory, Voltage, Power, Artificial intelligence and Stator. His Control theory research incorporates elements of Pulse-width modulation, Voltage regulation, Microgrid and AC power. The various areas that Chandan Chakraborty examines in his Pulse-width modulation study include Power factor, Induction motor and Inverter.
His Voltage study integrates concerns from other disciplines, such as MATLAB and Electric power transmission. The study incorporates disciplines such as Retinal and Computer vision in addition to Artificial intelligence. His Stator study also includes
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power
S. Maiti;C. Chakraborty;Y. Hori;M.C. Ta.
IEEE Transactions on Industrial Electronics (2008)
A Shunt Active Power Filter With Enhanced Performance Using ANN-Based Predictive and Adaptive Controllers
A Bhattacharya;C Chakraborty.
IEEE Transactions on Industrial Electronics (2011)
Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
Roshan Joy Martis;U. Rajendra Acharya;K. M. Mandana;A. K. Ray.
Expert Systems With Applications (2012)
Fast efficiency optimization techniques for the indirect vector-controlled induction motor drives
C. Chakraborty;Y. Hori.
IEEE Transactions on Industry Applications (2003)
Cardiac decision making using higher order spectra
Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;K. M. Mandana;Ajoy Kumar Ray.
Biomedical Signal Processing and Control (2013)
A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives
A. V. Ravi Teja;C. Chakraborty;S. Maiti;Y. Hori.
IEEE Transactions on Industrial Electronics (2012)
Parallel-Connected Shunt Hybrid Active Power Filters Operating at Different Switching Frequencies for Improved Performance
A. Bhattacharya;C. Chakraborty;S. Bhattacharya.
IEEE Transactions on Industrial Electronics (2012)
Machine learning approach for automated screening of malaria parasite using light microscopic images
Dev Kumar Das;Madhumala Ghosh;Mallika Pal;Asok K. Maiti.
Application of higher order cumulant features for cardiac health diagnosis using ECG signals.
Roshan Joy Martis;U. Rajendra Acharya;U. Rajendra Acharya;Choo Min Lim;K. M. Mandana.
International Journal of Neural Systems (2013)
An Adaptive Speed Sensorless Induction Motor Drive With Artificial Neural Network for Stability Enhancement
S. Maiti;V. Verma;Chandan Chakraborty;Yoichi Hori.
IEEE Transactions on Industrial Informatics (2012)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: