Modeling identification and control of physical and logistical systems

This book offers an in-depth analysis of modeling identification and control methods applied to electrical and logistics systems. Structured around three main themes it explores the optimized control of dual-fed wind turbines taking into account magnetic hysteresis phenomena the identification of asynchronous machine parameters via the Kalman filter and the optimization of warehouse inventory management processes. By integrating advanced mathematical models and adaptive control techniques the book stands out for its innovative approach to optimizing energy efficiency and system robustness offering a valuable resource for engineers and researchers in the fields of industrial automation and logistics management.