AI and Machine Learning for Mechatronic Systems

This book gathers applied artificial intelligence and machine learning methods that supply exactly that layer, across autonomous vehicles, renewable-energy operations, and the condition monitoring of rotating machinery. Mechatronic systems increasingly depend on a layer of intelligence that turns sensor measurements into decisions and actions. It shows how learning-based models, from neural networks and ensemble regressors to reinforcement learning agents, are used to perceive, predict, and act within real mechatronic and energy systems.