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20192021
most citedCritic-Only Integral Reinforcement Learning Driven by Variable Gain Gradient Descent for Optimal Tracking Control

4 citations · 9 across the 7 of their papers we have counts for

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Showing 2020Show all

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eess.SY2020★ 2 cited

Terminal-Angle-Constrained Guidance based on Sliding Mode Control for UAV Soft Landing on Ground Vehicles

Sashank Modali, Satadal Ghosh, Sujit P. B

In this paper the problem of guidance formulation for autonomous soft landing of unmanned aerial vehicles on stationary, moving, or accelerating / maneuvering ground vehicles at de…

cs.RO2020

3D-OGSE: Online Safe and Smooth Trajectory Generation using Generalized Shape Expansion in Unknown 3-D Environments

Vrushabh Zinage, Senthil Hariharan Arul, Dinesh Manocha +1

In this paper, we present an online motion planning algorithm (3D-OGSE) for generating smooth, collision-free trajectories over multiple planning iterations for 3-D agents operatin…

eess.SY2020

Simultaneous Identification and Optimal Tracking Control of Unknown Continuous Time Nonlinear System With Actuator Constraints Using Critic-Only Integral Reinforcement Learning

Amardeep Mishra, Satadal Ghosh

In order to obviate the requirement of drift dynamics in adaptive dynamic programming (ADP), integral reinforcement learning (IRL) has been proposed as an alternate formulation of…

eess.SY2020★ 2 cited

Tracking Control via Variable Gain Gradient Descent-Based Integral Reinforcement Learning for Unknown Continuous Time Nonlinear System

Amardeep Mishra, Satadal Ghosh

Optimal tracking of continuous time nonlinear systems has been extensively studied in literature. However, in several applications, absence of knowledge about system dynamics poses…