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® 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® 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.