Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques

The development of intelligent transportation systems, especially autonomous underwater vehicles, has become significant in marine engineering, with an aim to enhance energy efficiency management and communication systems. This book covers different aspects of optimization of autonomous underwater vehicles and their propulsion systems via machine learning techniques. It further analyses hydrodynamic characteristics including the study of experimental investigation combined with hydrodynamic characteristics backed by MATLAB (R) codes and simulation study results.

Features:

Covers utilization of machine learning techniques with a focus on marine science and ocean engineering.

Details effect of the intelligent transportation system (ITS) into the sustainable environment and ecology system.

Evaluates performance of particle swarm intelligence-based optimization techniques.

Reviews propulsion performance of the remote-controlled vehicles based on machine learning techniques.

Includes MATLAB (R) examples and simulation study results.

This book is aimed at graduate students and researchers in marine engineering and technology, computer science, and control system engineering.