Control and Optimization Methods for Complex System Resilience
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Beschreibung
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.
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.
Presents a scientific methodology for systematic resilience improvement of complex systems Identifies effective approaches for risk identification, security assessment, system protection, and recovery Provides practical case studies of relevant methods in power and energy systems
Autor*in
Chao Zhai
Themen in »Control and Optimization Methods for Complex System Resilience«
Complex Systems Cooperative Control System Recovery Security Assessment Power System System Protection Optimal Control Cascading Blackout Cyber Physical System
Stimmen zu »Control and Optimization Methods for Complex System Resilience«
“The book is of considerable interest to specialists working in the field of stability theories and applications, in particular, the stability of power systems.” (Anatoly Martynyuk, zbMATH 1552.93001, 2025)
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