no code implementations • 1 Apr 2024 • Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane
A state-feedback watermarking signal design for the detection of replay attacks in linear systems is proposed.
no code implementations • 31 Jan 2023 • Saman Mostafavi, Chihyeon Song, Aayushman Sharma, Raman Goyal, Alejandro Brito
We present a data-driven modeling and control framework for physics-based building emulators.
no code implementations • 19 Nov 2022 • Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty, Ran Wang
This paper considers the problem of system identification for linear time varying systems.
no code implementations • 13 Sep 2022 • Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane
This work discusses a novel framework for simultaneous synthesis of optimal watermarking signal and robust controllers in cyber-physical systems to minimize the loss in performance due to added watermarking signal and to maximize the detection rate of the attack.
no code implementations • 21 Nov 2020 • Raman Goyal, Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed
We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems.
no code implementations • 7 Nov 2020 • Raman Goyal, Manoranjan Majji, Robert E. Skelton
This paper proposes a model-based approach to control the shape of a tensegrity system by driving its node position locations.
Robotics Systems and Control Systems and Control
no code implementations • 1 Apr 2020 • Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal, Ran Wang
We consider the problem of nonlinear stochastic optimal control.
no code implementations • 21 Feb 2020 • Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma, Raman Goyal, Suman Chakravorty
The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of the dynamical system.