A novel approach to 6-DOF adaptive trajectory tracking control of an AUV in the presence of parameter uncertainties

By Fahimeh Rezazadegan, Khoshnam Shojaei, F. Sheikholeslam, A. Chatraei. 2015

122 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/c5a844fac8015be6df9771737137ca06e34a300f

How researchers see this paper

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In Control and Systems Engineering

1. Rongxin Cui
2. Sanjay K. Sharma
3. Chenguang Yang
4. Y. Li

Citations in the corpus

• Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning (2017, methodology): “Based on the back-stepping method and Lyapunov analysis, an adaptive trajectory tracking controller was designed to overcome the model parameter uncertainties in [51], where a saturation function was utilized to resolve the actuator saturation problem.”