Satadal Ghosh

Orcid: 0000-0002-3840-4735

According to our database1, Satadal Ghosh authored at least 27 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Probabilistic Higher-Order Velocity Obstacle for Dynamic Collision Avoidance in Uncertain Environments.
J. Aerosp. Inf. Syst., 2024

Switched Vector Field-based Guidance for General Reference Path Following in Planar Environment.
CoRR, 2024

Robust Fuel-Optimal Landing Guidance for Hazardous Terrain using Multiple Sliding Surfaces.
CoRR, 2024

2023
3D-Online Generalized Sensed Shape Expansion: A Probabilistically Complete Motion Planner in Obstacle-Cluttered Unknown Environments.
IEEE Robotics Autom. Lett., June, 2023

Fuel-Optimal Powered Descent Guidance for Hazardous Terrain.
CoRR, 2023

Guidance for Terminal Direction and Final Time Constrained-Approach Towards a Moving Target.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Simultaneous identification and optimal tracking control of unknown continuous-time systems with actuator constraints.
Int. J. Control, 2022

Gradient Direction Turn Switching Strategy for Source Localization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Right-of-Way-based Probabilistic Acceleration Velocity Obstacle.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Directional Sampling-Based Generalized Shape Expansion for Accelerated Motion Planning in 2-D Obstacle-Cluttered Environments.
IEEE Control. Syst. Lett., 2021

Mathematical Properties of Generalized Shape Expansion-Based Motion Planning Algorithms.
CoRR, 2021

2020
Terminal-Angle-Constrained Guidance based on Sliding Mode Control for UAV Soft Landing on Ground Vehicles.
CoRR, 2020

Simultaneous Identification and Optimal Tracking Control of Unknown Continuous Time Nonlinear System Using Integral Reinforcement Learning.
CoRR, 2020

$\text{H}_{\infty}$ Tracking Control via Variable Gain Gradient Descent-Based Integral Reinforcement Learning for Unknown Continuous Time Nonlinear System.
CoRR, 2020

On Probabilistic Completeness of the Generalized Shape Expansion-Based Motion Planning Algorithm.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Variable Gain Gradient Descent-based Robust Reinforcement Learning for Optimal Tracking Control of Unknown Nonlinear System with Input-Constraints.
CoRR, 2019

Optimal Tracking for Partially-Unknown Continuous Time Nonlinear Systems with Actuator Constraints using Critic-Only Integral Reinforcement Learning.
CoRR, 2019

Maxima-Turn-Switching Strategy of Sensor-Equipped UAVs for Target Localization in 2-D and 3-D Environments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

Proportional Navigation-Benchmarked Guidance Strategy using Artificial Neural Networks.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

An Efficient Motion Planning Algorithm for UAVs in Obstacle-cluttered Environment.
Proceedings of the 2019 American Control Conference, 2019

2016
A guidance law for avoiding specific approach angles against maneuvering targets.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2014
Capturability Analysis of a 3-D Retro-PN Guidance Law for Higher Speed Nonmaneuvering Targets.
IEEE Trans. Control. Syst. Technol., 2014

2013
Three dimensional retro-PN based impact time control for higher speed nonmaneuvering targets.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Three dimensional PN based impact angle control for higher speed nonmaneuvering targets.
Proceedings of the American Control Conference, 2013

Capturability of Augmented Proportional Navigation (APN) guidance with nonlinear engagement dynamics.
Proceedings of the American Control Conference, 2013

2011
Portfolio Selection Models and Their Discrimination.
Int. J. Oper. Res. Inf. Syst., 2011

Analysis of a retro-PN guidance law.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011


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