ID - 131918433 TI - Control and Optimization Methods for Complex System Resilience AU - Zhai, Chao AU - SpringerLink (Online service) PY - 2023 SN - 9789819930531 9789819930524 9789819930548 9789819930555 PB - Singapore Springer Nature Singapore :Imprint: Springer DB - UniCat KW - Electrical engineering KW - Engineering sciences. Technology KW - Artificial intelligence. Robotics. Simulation. Graphics KW - Computer. Automation KW - mechatronica KW - industriƫle robots KW - automatisering KW - algoritmen KW - robots KW - automatische regeltechniek UR - https://www.unicat.be/uniCat?func=search&query=sysid:131918433 AB - 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. ER -