no code implementations • 24 Jan 2024 • Sriram Narayanan, Mohamed Naveed Gul Mohamed, Indranil Nayak, Suman Chakravorty, Mrinal Kumar
This paper discusses the predictive capability of Dynamic Mode Decomposition (DMD) in the context of orbital mechanics.
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 Oct 2022 • Aayushman Sharma, Zirui Mao, Haiying Yang, Suman Chakravorty, Michael J Demkowicz, Dileep Kalathil
In this paper, we consider the optimal control of material micro-structures.
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 • 1 Apr 2020 • Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal, Ran Wang
We consider the problem of nonlinear stochastic optimal control.
1 code implementation • 21 Feb 2020 • Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty.
Optimization and Control Robotics Systems and Control Systems and 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.
1 code implementation • 17 Apr 2019 • Ran Wang, Karthikeya Parunandi, Dan Yu, Dileep Kalathil, Suman Chakravorty
This paper proposes a novel decoupled data-based control (D2C) algorithm that addresses this problem using a decoupled, `open loop - closed loop', approach.
no code implementations • 11 Jul 2017 • Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the partially observed stochastic optimal control problem for systems with state dynamics governed by Partial Differential Equations (PDEs) that leads to an extremely large problem.
no code implementations • 27 May 2017 • Dan Yu, Mohammadhussein Rafieisakhaei, Suman Chakravorty
This paper studies the stochastic optimal control problem for systems with unknown dynamics.
no code implementations • 10 Aug 2016 • Mohammadhussein Rafieisakhaei, Suman Chakravorty, P. R. Kumar
Planning under motion and observation uncertainties requires solution of a stochastic control problem in the space of feedback policies.
Robotics Optimization and Control