11 citations · 11 across the 6 of their papers we have counts for
5 papers · 1 filter
Initial Excitation-based Adaptive Observers for Discrete-Time LTI Systems
Anchita Dey, Soutrik Bandyopadhyay, Shubhendu Bhasin
In practical applications, the efficacy of a control algorithm relies critically on the accurate knowledge of the parameters and states of the underlying system. However, obtaining…
Behavioral Inequalities
Soutrik Bandyopadhyay, Debasattam Pal, Shubhendu Bhasin
We introduce behavioral inequalities as a way to model dynamical systems defined by inequalities among their variables of interest. We claim that such a formulation enables the rep…
Lagrangian-based online safe reinforcement learning for state-constrained systems
Soutrik Bandyopadhyay, Shubhendu Bhasin
This paper proposes a safe reinforcement learning (RL) algorithm that approximately solves the state-constrained optimal control problem for continuous-time uncertain nonlinear sys…
Safe Q-learning for continuous-time linear systems
Soutrik Bandyopadhyay, Shubhendu Bhasin
Q-learning is a promising method for solving optimal control problems for uncertain systems without the explicit need for system identification. However, approaches for continuous-…
Safe reinforcement learning control for continuous-time nonlinear systems without a backup controller
Soutrik Bandyopadhyay, Shubhendu Bhasin
This paper proposes an on-policy reinforcement learning (RL) control algorithm that solves the optimal regulation problem for a class of uncertain continuous-time nonlinear systems…