The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection,...

The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection,...

This book focuses on supply chain management, specifically resilience modeling and recovery strategies for disruptions. It combines multi-level analysis (system, product, event, network) with practical tools such as knowledge graphs, optimization techniques, and risk management frameworks. Key features include a structured, visual approach to complex concepts and multiple recovery dimensions (short-term fixes, product redesign, hierarchical optimization, control support). Blending theory with real-world applications, it provides readers with actionable insights to anticipate risk, optimize...