{"product_id":"digital-twin-enabled-smart-control-engineering-a-framework-and-case-studies-9783031221422","title":"Digital-Twin-Enabled Smart Control Engineering: A Framework and Case Studies","description":"\u003cp\u003e • Author(s): Jairo Viola\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Electrical\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT's behavior-matching with the real system or physical twin.\u003c\/p\u003e The methods of creating a DT detailed in \u003ci\u003eDigital-Twin-Enabled Smart Control Engineering \u003c\/i\u003emake possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems.\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThe DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website.\u003c\/p\u003e \u003cp\u003eThis book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45276285993111,"sku":"9783031221422","price":3633.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783031221422.webp?v=1769285224","url":"https:\/\/atlanticbooks.com\/products\/digital-twin-enabled-smart-control-engineering-a-framework-and-case-studies-9783031221422","provider":"Atlantic Books","version":"1.0","type":"link"}