11 citations · 11 across the 6 of their papers we have counts for
6 papers
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…
Balancing Safety and Optimality in Robot Path Planning: Algorithm and Metric
Jatin Kumar Arora, Soutrik Bandyopadhyay, Sunil Sulania +1
Path planning for autonomous robots faces a fundamental trade-off between path length and obstacle clearance. While existing algorithms typically prioritize a single objective, we…
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…