Kshitij Bithel

Hi, I am a Tech Enthusiast interested in anything Math and Physics.
Proffessionally, I am an electrical engineer working in the semiconductor industry.
Other than that, I like long drives and building stuff, you can find some of my previous works under the Projects page

selected publications

Deep Reinforcement Learning based Super Twisting Controller for Liquid Slosh Control Problem

Ashish Shakya, Kshitij Bithel, Gopinath. Pillai, and Soham Chakrabarty

IFAC-PapersOnLine, 2022

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Deep Reinforcement Learning (DRL) based parameter optimization of super twisting control (STC) for the liquid slosh control problem in a moving vehicle is proposed in this paper. The slosh control problem, including the vehicle dynamics, represents an under-actuated nonlinear dynamical system. The slosh phenomenon is modeled by a simple pendulum on a cart and STC had been designed for the system when the vehicle motion is in a straight line. In this paper, a DRL framework is designed for the first time to tune the STC parameters in order to deliver near optimal performance. The effectiveness of this proposed learning-based approach for STC design for the slosh control problem is validated in a Python simulation environment and compared to the simple STC design without the learning.
@article{2022drlbasedsloshcontrol, title = {{Deep Reinforcement Learning based Super Twisting Controller for Liquid Slosh Control Problem}}, author = {Shakya, Ashish and Bithel, Kshitij and Pillai, Gopinath. and Chakrabarty, Soham}, journal = {IFAC-PapersOnLine}, volume = {55}, number = {1}, pages = {734--739}, year = {2022}, doi = {10.1016/j.ifacol.2022.04.120}, }