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Control and Optimization Methods for Complex System Resilience: 478 (Studies in Systems, Decision and Control, 478) - Tapa dura

Zhai, Chao

 
9789819930524: Control and Optimization Methods for Complex System Resilience: 478 (Studies in Systems, Decision and Control, 478)
Tapa dura
ISBN 10: 9819930529 ISBN 13: 9789819930524
Editorial: Springer, 2023

Sinopsis

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.

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Acerca del autor

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. 

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2023
Idioma
Inglés
ISBN 10 
9819930529
ISBN 13 
9789819930524
Encuadernación
Tapa dura
Número de páginas
228
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