This book is designed to serve both beginners and experienced professionals, offering a balanced blend of theoretical foundations, practical applications, and state‑of‑the‑art control techniques. It investigates a wide range of control methods essential for managing power converters, beginning with an introduction to their operation and fundamental principles. The chapters on Linear and Nonlinear Control establish the essential groundwork, guiding readers through the core concepts and highlighting the challenges associated with controlling the inherently complex and nonlinear behavior of power electronic systems. Building on these fundamentals, this book explores Digital Control, explaining how digital controllers, microprocessors, and DSPs have transformed power electronics by enabling high precision, greater flexibility, and improved reliability compared to traditional analog approaches.

To address stability in nonlinear environments, a dedicated chapter on Lyapunov‑based Control introduces advanced stability analysis techniques that are crucial for ensuring reliable operation under diverse conditions. This book also presents a practical discussion of the Extended Kalman Filter, covering its role in state estimation and noise reduction—an essential tool for sensorless control of converters, drives, and renewable energy systems.

As modern power systems increasingly depend on automation and adaptability, the chapters on Fuzzy Logic Control and Artificial Neural Networks provide insights into intelligent control strategies that do not rely exclusively on precise mathematical models. These soft‑computing approaches offer enhanced robustness and adaptability, allowing power converters to respond efficiently to real‑time operating changes and environmental uncertainties.

This book further examines Adaptive and Robust Control methods, which are indispensable in systems with parameter variations, unknown disturbances, or high operational variability. A detailed discussion of sensorless control highlights cost‑effective approaches that reduce dependence on physical sensors while improving system reliability and efficiency—particularly relevant in motor drives and renewable energy applications.

Ersan Kabalci (M09, SM18) obtained his B.S. and M.S. degrees from Gazi University in Ankara, Turkey, in 2003 and 2006, respectively. He completed his Ph.D. at Gazi University in 2010, with a thesis focused on implementing an enhanced modulation scheme for multilevel inverters.

From 2005 to 2007, he served as a lecturer at Gazi University. Since 2010, he has been associated with the Department of Electrical and Electronics Engineering, where he held various positions: Assistant Professor in 2011, Associate Professor specializing in power electronics and drives in 2013, and Full Professor in 2019. He has been a visiting professor at Ruhr University Bochum in Germany from 2024 to 2025.

Prof. Kabalci is an Associate Editor for several internationally indexed journals that focus on power electronics and renewable energy sources. His current research interests include applications of power electronics and drives for renewable energy sources, microgrids, distributed generation, power line communication, and smart grid applications. He has been a member of the IEEE since 2009 and became a senior member in 2018.