Control and Optimization Methods for Complex System Resilience

Chao Zhai

ISBN 10: 9819930553 / ISBN 13: 9789819930555

Published by Springer, 2024

About this Item

Control and Optimization Methods for Complex System Resilience | Chao Zhai | Taschenbuch | xx | Englisch | 2024 | Springer | EAN 9789819930555 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 129556503

Bibliographic Details

• Title: Control and Optimization Methods for Complex System Resilience
• Publisher: Springer
• Publication Date: 2024
• Language: English
• ISBN 10: 9819930553
• ISBN 13: 9789819930555
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 353 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book provides a systematic framework to enhance the ability of complex dynamical systems in risk identification, security assessment, system protection, and recovery with the assistance of advanced control and optimization technologies. By treating external disturbances as control inputs, optimal control approach is employed to identify disruptive disturbances, and online security assessment is conducted with Gaussian process and converse Lyapunov function. Model predictive approach and distributed optimization strategy are adopted to protect the complex system against critical contingencies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation.

About the Author

Chao Zhai received the Bachelor's degree in automation engineering from Henan University in 2007 and earned the Master's degree in control theory and control engineering from Huazhong University of Science and Technology in 2009. He received the Ph.D. degree in complex system and control from the Institute of Systems Science, Chinese Academy of Sciences, Beijing, China, in June 2013. From July 2013 to August 2015, he was a post-doctoral fellow at the University of Bristol, Bristol, UK. He is a full professor at the School of Automation, China University of Geosciences, Wuhan, China. His research interests include multi-agent cooperative control, resilient system, social motor coordination, and geohazard monitoring. He is a senior member of IEEE.