Control and optimization methods for complex system resilience [electronic resource] / Chao Zhai.

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Control and optimization methods for complex system resilience [electronic resource] / Chao Zhai.

9789819930531 (electronic bk.)
9819930537 (electronic bk.)
9819930529
9789819930524

Singapore : Springer, 2023.

English

1 online resource (218 pages).

10.1007/978-981-99-3053-1 doi

TJ213

629.8

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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Online resource; title from PDF title page (SpringerLink, viewed July 11, 2023).

Studies in systems, decision and control ; v. 478.

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