{"product_id":"a-hardware-in-loop-digital-twin-approach-for-intelligent-optimization-of-municipal-solid-waste-incineration-isbn-9781394354016","title":"A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration","description":"\u003cp\u003e\u003cb\u003eAn expert discussion of intelligent optimization control in complex industrial processes\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eIn \u003ci\u003eA Hardware-in-Loop Digital Twin Approach to Intelligent Optimization of Municipal Solid Waste Incineration,\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003e\u0026gt;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. \u003c\/p\u003e\u003cp\u003eAdditional topics include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA thorough introduction to numerical simulation modeling of whole industrial processes\u003c\/li\u003e \u003cli\u003eComprehensive explorations of the design, implementation, and validation of hardware-in-loop digital twin platforms\u003c\/li\u003e \u003cli\u003ePractical discussions of AI-driven modeling, control, and optimization\u003c\/li\u003e \u003cli\u003eFulsome descriptions of the skills required to address challenges posed by complex industrial processes\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for environmental engineers and researchers, \u003ci\u003eA Hardware-in-Loop Digital Twin Approach to Intelligent Optimization of Municipal Solid Waste Incineration\u003c\/i\u003e will also benefit MSWI plant operators and managers, as well as AI and machine learning researchers and developers of environmental monitoring and control systems.  \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJian Tang, PhD,\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eWen Yu, PhD,\u003c\/b\u003e is a Professor and Head of Department of the Departamento de Control Automatico at CINVESTAV-IPN (National Polytechnic Institute) in Mexico City, Mexico. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eJunfei Qiao, PhD,\u003c\/b\u003e is a Professor with the Beijing University of Technology and Director of Beijing Laboratory of Smart Environmental Protection in Beijing, China.\u003c\/p\u003e","brand":"Wiley-IEEE Press","offers":[{"title":"Default Title","offer_id":47988631929061,"sku":"NP9781394354016","price":140.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781394354016.jpg?v=1761781048","url":"https:\/\/k12savings.com\/products\/a-hardware-in-loop-digital-twin-approach-for-intelligent-optimization-of-municipal-solid-waste-incineration-isbn-9781394354016","provider":"K12savings","version":"1.0","type":"link"}