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.
| ISBN: | 9789819930555 |
| Publication date: | 28th June 2024 |
| Author: | Chao Zhai |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 206 pages |
| Series: | Studies in Systems, Decision and Control |
| Genres: |
Automatic control engineering Cybernetics and systems theory Electronics engineering |
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.
Control and Optimization Methods for Complex System Resilience features in the following genres: Automatic control engineering, Cybernetics and systems theory, Electronics engineering
Control and Optimization Methods for Complex System Resilience is available in Paperback
Control and Optimization Methods for Complex System Resilience was written by Chao Zhai and published by Springer an imprint of Springer Nature Singapore
Control and Optimization Methods for Complex System Resilience has 206 pages
Yes it is part of Studies in Systems, Decision and Control series
£116.99