Sandeep Menta
Sandeep Menta
Staff of WZTC ETH Projects
Additional information
Research area
My research interests lie in data-driven control of large scale hybrid systems. My current work involves constructing Q-function approximations using approximate dynamic programming techniques and using them in optimal control of hybrid systems.
Sandeep is a PhD student at the Automatic Control Laboratory at ETH Zürich since 2019. He obtained his undergraduate degree in Electrical Engineering from Indian Institute of Technology Madras, India in 2016 and a master's degree in Robotics, Systems and Control from ETH Zürich in 2018.
Additional information
Conference Publications
- S. Menta, J. Warrington, J. Lygeros and M. Morari, "Learning solutions to hybrid control problems using Benders cuts", 2nd Learning for Dynamics and Control Conference, 2020, Berkley, USA.
- S. Menta, A. Hauswirth, S. Bolognani, G Hug, and F. Dörfler, "Stability of Dynamic Feedback Optimization with Applications to Power Systems", Allerton Conference on Communications, Control and Computing, October 2018.
- A. Saradagi, S. Menta, S. Gajbhiye, A. D. Mahindrakar, R. N. Banavar, "Poincare representation of the equations of motion of a spherical robot by internal rotors", Indian Control Conference 2018.
Journal Publications
- S. Menta, J. Warrington, J. Lygeros and M. Morari, " Learning Q-Function Approximations for Hybrid Control Problems," IEEE Control Systems Letters, vol. 6, pp. 1364-1369, 2022, doi: 10.1109/LCSYS.2021.3094764.
- A. Saradagi, V. Muralidharan, V. Krishnan, S. Menta, A. D. Mahindrakar, "Formation Control and Trajectory Tracking of Nonholonomic Mobile Robots", IEEE Transactions on Control Systems Technology, Nov. 2018.