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This book presents recent advanced techniques in sliding mode control and observer design for industrial power systems, focusing on their applications in polymer electrolyte membrane fuel cells and power converters. Readers will find not only valuable new fault detection and isolation techniques based on sliding mode control and observers, but also a number of robust control and estimation methodologies combined with fuzzy neural networks and extended state observer methods. The book also provides necessary experimental and simulation examples for proton exchange membrane fuel cell systems and power converter systems. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists and engineers who are working in the field. .

Sliding mode control. --- Automatic control --- Control engineering. --- Power electronics. --- Control and Systems Theory. --- Power Electronics, Electrical Machines and Networks. --- Electronics, Power --- Electric power --- Electronics --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers

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This book delves deep into fractional-order control and fractional-order sliding mode techniques, addressing key challenges in the control design of linear motor systems and control for the deployment of space tethered systems. Innovative strategies such as adaptive fractional-order sliding mode control and fractional-order fuzzy sliding mode control schemes are devised to enhance system performance. Divided into three parts, it covers a brief view of fractional-order control strength in modeling and control, fractional-order sliding mode control of linear motor systems, and fractional-order sliding mode control for the deployment of space tethered systems. Each chapter offers valuable insights and solutions. Simulations and experiments validate the efficacy of these approaches, making this book essential for researchers, engineers, and practitioners in control systems and aerospace engineering.

Control engineering. --- Robotics. --- Automation. --- System theory. --- Control theory. --- Computational intelligence. --- Control and Systems Theory. --- Control, Robotics, Automation. --- Systems Theory, Control. --- Computational Intelligence.