Sanjay K. Sharma

Orcid: 0000-0002-5062-3199

According to our database1, Sanjay K. Sharma authored at least 28 papers between 2000 and 2022.

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

Timeline

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Bibliography

2022
Drone Footage Wind Turbine Surface Damage Detection.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

2019
Autonomous Vehicular Landings on the Deck of an Unmanned Surface Vehicle using Deep Reinforcement Learning.
Robotica, 2019

Pedestrian Recognition and Obstacle Avoidance for Autonomous Vehicles Using Raspberry Pi.
Proceedings of the Intelligent Systems and Applications, 2019

2018
Guaranteed State Estimation for Nonlinear Discrete-Time Systems via Indirectly Implemented Polytopic Set Computation.
IEEE Trans. Autom. Control., 2018

Feasibility study of a constrained Dijkstra approach for optimal path planning of an unmanned surface vehicle in a dynamic maritime environment.
Proceedings of the 2018 IEEE International Conference on Autonomous Robot Systems and Competitions, 2018

2017
Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Autonomous Quadrotor Landing using Deep Reinforcement Learning.
CoRR, 2017

Monocular Visual Odometry for an Unmanned Sea-Surface Vehicle.
CoRR, 2017

Towards autonomous landing on a moving vessel through fiducial markers.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

2016
Analysis of BER for M-QAM and QOS Enhancement for OFDM Systems.
Wirel. Pers. Commun., 2016

Novel Interleaver Design for Turbo Codes.
Wirel. Pers. Commun., 2016

2015
Analysis of 64 QAM Golay Codes with Low Peak to Average Power Ratio for OFDM Systems.
Wirel. Pers. Commun., 2015

Neural network fault diagnosis of a trolling motor based on feature reduction techniques for an unmanned surface vehicle.
J. Syst. Control. Eng., 2015

Robust Adaptive Control of an Uninhabited Surface Vehicle.
J. Intell. Robotic Syst., 2015

On the application of a hybrid ellipsoidal-rectangular interval arithmetic algorithm to interval Kalman filtering for state estimation of uncertain systems.
Int. J. Control, 2015

A wavelet neural network based non-linear model predictive controller for a multi-variable coupled tank system.
Int. J. Autom. Comput., 2015

Approximation-Based Control of a Marine Surface Vessel with Full-State Constraints.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

Maximum Power Tracking Control for Current Power System Based on Fuzzy-PID Controller.
Proceedings of the Intelligent Robotics and Applications - 8th International Conference, 2015

2014
A novel real-time non-linear wavelet-based model predictive controller for a coupled tank system.
J. Syst. Control. Eng., 2014

Application of artificial neural networks to weighted interval Kalman filtering.
J. Syst. Control. Eng., 2014

Local Model and Controller Network Design for a Single-Link Flexible Manipulator.
J. Intell. Robotic Syst., 2014

Adaptive control of unmanned surface vessels matching an optimized reference model.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Computation of stable interval Kalman filter bounds for their use in robust state estimation for an uninhabited surface vehicle with bounded indeterminate system dynamics.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013
Nonlinear model predictive control of an uninhabited surface vehicle.
Proceedings of the 9th Asian Control Conference, 2013

2012
Dynamic evolution of the genetic search region through fuzzy coding.
Eng. Appl. Artif. Intell., 2012

2007
Fuzzy logic for priority based genetic search in evolving a neural network architecture.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2003
Fuzzy coding of genetic algorithms.
IEEE Trans. Evol. Comput., 2003

2000
Genetic evolution: a dynamic fuzzy approach.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000


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