Biswajit Debnath

About

I have a Ph.D. in the broad area of Electrical Engineering with a specialization in control systems. Prior to that, I did my M.Tech in the specialization of Instrumentation and Control Systems. My expertise is in the design of appropriate control strategies for trajectory tracking in process control systems, aeronautical systems, gas turbines, and autonomous vehicle systems. I have developed strategies to handle multiple-set point tracking, cross-coupling, resonant modes, parametric uncertainty, and disturbance rejection in MIMO systems. While trying to achieve my objectives, I have used techniques such as non-linear regression, curve-fitting, projection algorithm, loop-shaping, multi-objective particle swarm optimization, system identification, and state estimation. I am familiar with linear quadratic Gaussian (LQG), PID, artificial neural networks, fuzzy logic, and sliding mode control. I have experience working with MATLAB/SIMULINK and the LabVIEW interface.

I have over two years of industrial experience as an instrumentation engineer in an air separation unit. I am currently involved as a Senior Engineer in L & T Technology Services, where I work on the design and development of electrical systems for commercial aircrafts. I also serve as a voluntary peer reviewer for various reputed journals. I am always open to research collaborations in the domain of biologically inspired control systems.

Employment

• Larsen & Toubro (India) Senior Engineer
  2022 - Present

Education

• National Institute of Technology Calicut Ph.D
  2016 - 2021

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Disturbance Rejection in MIMO Systems With Emotional-Learning-Based Controller: Application to Variable Rotor-Speed Helicopters
  IEEE Transactions on Systems, Man, and Cybernetics: Systems 2023 DOI: 10.1109/TSMC.2023.3247513
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• Design of a multivariable stimulus for Emotional-Learning based control of a 2-DOF laboratory helicopter
  ISA Transactions 2021 DOI: 10.1016/J.ISATRA.2021.02.022
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• Emotional Learning Based Controller for Quadruple Tank SystemuAn Improved Stimuli Design for Multiple Set-Point Tracking
  IEEE Transactions on Industrial Electronics 2021 DOI: 10.1109/TIE.2020.3038083
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• Design of a Multi-variable Adaptive Stimuli for an Emotional Learning Based Controller for a MIMO Process
  Proceedings of the Annual Conference of IEEE Industrial Electronics Society, IECON 2020 DOI: 10.1109/IECON43393.2020.9254884
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• Performance Analysis of SOSMC and BELBIC for Level Control of Quadruple Tank System
  Proceedings of the First Ieee International Conference on Power Electronics, Intelligent Control and Energy Systems 2016
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• Adaptive Emotional-Learning Based Controller: A Practical Design Approach for Helicopters with Variable Speed Rotors
  DOI: 10.1109/TII.2021.3078116
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