S
Sanjay Sharma
Researcher at University of Plymouth
Publications - 109
Citations - 2124
Sanjay Sharma is an academic researcher from University of Plymouth. The author has contributed to research in topics: Control theory & Fuzzy logic. The author has an hindex of 19, co-authored 105 publications receiving 1467 citations. Previous affiliations of Sanjay Sharma include Shri Mata Vaishno Devi University & University of Sheffield.
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Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
TL;DR: The trajectory tracking problem for a fully actuated autonomous underwater vehicle (AUV) that moves in the horizontal plane is investigated and two neural networks, including a critic and an action NN, are integrated into the adaptive control design.
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A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents
TL;DR: Even after embargo period expires, authors' right to distribute as green open access is conditional on the green openAccess version including a DOI link, and on thegreen open access version being distributed under the Creative Commons CC-BY-NC-ND licence.
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A review of developments towards biologically inspired propulsion systems for autonomous underwater vehicles
TL;DR: A brief introduction to biologically inspired propulsion mechanisms for AUVs can be found in this paper, where the authors explain their strengths, their weaknesses, and the motivation behind them, and then predict future trends in biomimetic AUV propulsion design.
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Finite-Time Observer Based Guidance and Control of Underactuated Surface Vehicles With Unknown Sideslip Angles and Disturbances
TL;DR: Simulation studies and comparisons are conducted to demonstrate the effectiveness and superiority of the proposed finite-time observer based guidance and control scheme for path following of an USV with time-varying and large sideslip angles and unknown external disturbances.
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Obstacle Avoidance Approaches for Autonomous Navigation of Unmanned Surface Vehicles
TL;DR: In this work, collision detection and path planning methods for USVs are presented and it is concluded that almost all the existing method do not address sea or weather conditions, or do not involve the dynamics of the vessel while defining the path.