User profiles for Rupam Singh

Dr. Rupam Singh

Assistant Professor at SDU Robotics, University of Southern Denmark
Verified email at mmmi.sdu.dk
Cited by 230

Real-time control of ball balancer using neural integrated fuzzy controller

R Singh, B Bhushan - Artificial Intelligence Review, 2020 - Springer
This paper presents the design, control, and validation of two degrees of freedom Ball
Balancer system. The ball and plate system is a nonlinear, electromechanical, multivariable, …

Data-driven technique-based fault-tolerant control for pitch and yaw motion in unmanned helicopters

R Singh, B Bhushan - IEEE Transactions on Instrumentation …, 2020 - ieeexplore.ieee.org
This article proposes a fault-tolerant control (FTC) algorithm to monitor the anomalies and
control them for unmanned helicopters. This overcomes the drawbacks due to …

[HTML][HTML] Advanced power converters and learning in diverse robotic innovation: a review

R Singh, VSB Kurukuru, MA Khan - Energies, 2023 - mdpi.com
This paper provides a comprehensive review of the integration of advanced power management
systems and learning techniques in the field of robotics. It identifies the critical roles …

Electric vehicle charging/discharging models for estimation of load profile in grid environments

VSB Kurukuru, MA Khan, R Singh - Electric Power Components …, 2023 - Taylor & Francis
The increasing electric vehicles (EVs) and their integration with the electrical networks to
achieve the charging demands has highly affected the operation of the power system. These …

Position tracking and balancing control of ball balancer system using intelligent controllers

…, B Bhushan, R Singh - International Journal of …, 2021 - inderscienceonline.com
This paper develops an intelligent control approach for achieving the non-linear control of a
two degrees of freedom (2DoF) ball balancer system. The ball balancer system provides an …

Improved ant colony optimization for achieving self-balancing and position control for balancer systems

R Singh, B Bhushan - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The balancer systems represent feedback in loop-based underactuated system which is
electromechanical, multivariate, and nonlinear. This paper develops a self-balancing controller …

Macrocyclic metal complexes: synthesis and characterization of 14-and 16-membered tetraaza macrocyclic complexes of transition metals

AK Singh, R Singh, P Saxena - Transition metal chemistry, 2004 - Springer
A new 14-membered macrocyclic ligand, 5,7,12,14-dibenzo-2,3,9,10-tetraoxa-1,4,8,11-tetraazacyclotetradecane
and a 16-membered ligand, 6,8,14,16-dibenzo-4,12-dimethyl-2,10-…

Evolving intelligent system for trajectory tracking of unmanned aerial vehicles

R Singh, B Bhushan - IEEE Transactions on Automation …, 2021 - ieeexplore.ieee.org
This article develops an evolving type-2 quantum fuzzy neural network (eT2QFNN) control
scheme for achieving trajectory tracking with unmanned aerial vehicles (UAVs). The …

Characterizing Manipulator Motion Using an Evolving Type 2 Quantum Fuzzy Neural Network

R Singh, C Sloth - 2024 IEEE/SICE International Symposium on …, 2024 - ieeexplore.ieee.org
This paper presents a control algorithm based on the Evolving Type 2 Quantum Fuzzy
Neural Network (ET2QFNN) for characterizing and controlling the joint-space motion of a …

Mercury (II)-selective membrane electrode using tetrathia-diazacyclotetradeca-2, 9-diene as neutral carrier

AK Singh, G Bhattacharjee, R Singh - Sensors and Actuators B: Chemical, 2004 - Elsevier
… Author links open overlay panel Ashok Kumar Singh , G Bhattacharjee , Rupam Singh
Rupam Singh is grateful to CSIR, India for providing financial assistance in the form of Senior …