A Hardware-in-loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: Ai and Its Application to Complex Industries

Yu, Wen/ Tang, Jiangjun/ Qiao, Junfei

ISBN 10: 1394354010 / ISBN 13: 9781394354016

Published by IEEE, 2025

About this Item

400 pages. 6.00x1.31x9.00 inches. In Stock. This item is printed on demand.

Seller Inventory # __1394354010

Bibliographic Details

• Title: A Hardware-in-loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: Ai and Its Application to Complex Industries
• Publisher: IEEE
• Publication Date: 2025
• Language: English
• ISBN 10: 1394354010
• ISBN 13: 9781394354016
• Binding: Hardcover
• Condition: Brand New
• Weight: 1 kilogram

About this title

Synopsis

An expert discussion of intelligent optimization control in complex industrial processes

In A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: AI and Its Application to Complex Industrial Processes, a team of distinguished researchers delivers an innovative new approach to integrating virtual mechanism data generated through coupled numerical simulation and orthogonal experimental design with real historical data. The book explains how to create a heterogenous ensemble prediction model for carbon monoxide emissions in municipal solid waste incineration (MSWI) processes.

The authors focus on intelligent optimization control of MSWI processes based on hardware-in-loop DT platforms. They demonstrate AI-driven modeling, control, optimization algorithms in real-world applications, including virtual-real data hybrid-driven deep modeling and intelligent optimal controls based on multiple objectives.

Additional topics include:

• A thorough introduction to numerical simulation modeling of whole industrial processes
• Comprehensive explorations of the design, implementation, and validation of hardware-in-loop digital twin platforms
• Practical discussions of AI-driven modeling, control, and optimization
• Fulsome descriptions of the skills required to address challenges posed by complex industrial processes

Perfect for environmental engineers and researchers, A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration will also benefit MSWI plant operators and managers, as well as AI and machine learning researchers and developers of environmental monitoring and control systems.

About the Author

Jian Tang, PhD, is a Professor and Researcher with the Department of Artificial Intelligence and Automation in the Faculty of Information Technology at the Beijing University of Technology.

Wen Yu, PhD, is a Professor and Head of Department of the Departamento de Control Automatico at CINVESTAV-IPN (National Polytechnic Institute) in Mexico City, Mexico.

Junfei Qiao, PhD, is a Professor with the Beijing University of Technology and Director of Beijing Laboratory of Smart Environmental Protection in Beijing, China.