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Arghya Chakravarty

Researcher at Indian Institute of Technology Guwahati

Publications -  21
Citations -  214

Arghya Chakravarty is an academic researcher from Indian Institute of Technology Guwahati. The author has contributed to research in topics: Backstepping & Adaptive control. The author has an hindex of 5, co-authored 16 publications receiving 141 citations. Previous affiliations of Arghya Chakravarty include Indian Institute of Technology Delhi & University of Jammu.

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Design and implementation of a neuro-adaptive backstepping controller for buck converter fed PMDC-motor

TL;DR: In this article, a neuro-adaptive backstepping control (NABSC) method using single-layer Chebyshev polynomial based neural network is proposed for the angular velocity tracking in buck converter fed permanent magnet dc (PMDC)-motor.
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Actuator fault-tolerant control (FTC) design with post-fault transient improvement for application to aircraft control

TL;DR: In this article, a robust fault-tolerant control scheme is proposed for uncertain nonlinear systems with zero dynamics, affected by actuator faults and lock-in-place and float failures.
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Improved event-triggered adaptive control of non-linear uncertain networked systems

TL;DR: An improved event-triggered adaptive backstepping control scheme is presented in this study for a class of uncertain NCSs with non-Lipschitz non-linearities under limited resources to satisfy bandwidth limitation and ensure system stability with acceptable transient performance.
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Analysis and experimental investigation into a finite time current observer based adaptive backstepping control of buck converters

TL;DR: A finite time current observer based adaptive backstepping control strategy is proposed for the output voltage regulation of buck type DC-DC converters, which eliminates the usage of extra sensor involved in sensing the inductor current and reduces the cost of control besides overcoming the problems of measurement noise encountered while sensing.
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Neural Network Integrated Adaptive Backstepping Control of DC-DC Boost Converter

TL;DR: A control law is derived based on the systematic and recursive design strategy of adaptive backstepping method that is much faster in estimating the unknown load parameter and offers satisfactory output voltage tracking, yielding fast response and low peak overshoot/undershoot in the event of unknown load perturbations.