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.
| Autorius: | Jianxing Liu, Yabin Gao, Guanghui Sun, Jiahui Wang, Wensheng Luo, Yunfei Yin, |
| Serija: | Studies in Systems, Decision and Control |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2020 |
| Knygos puslapių skaičius: | 232 |
| ISBN-10: | 3030306577 |
| ISBN-13: | 9783030306571 |
| Formatas: | 235 x 155 x 13 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Sliding Mode Control Methodology in the Applications of Industrial Power Systems“
