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System Design and Control Integration for Advanced Manufacturing (IEEE Press Series on Systems Science and Engineering) - Hardcover
Synopsis
Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.
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About the Author
Han-Xiong Li is a professor in the Department of Systems Engineering at the City University of Hong Kong. Dr. Li serves as Associate Editor of IEEE Transaction on Cybernetics, and IEEE Transactions on Industrial Electronics. Over the last thirty years, he has worked in different fields, including military service, industry, and academia. His current research interests are in systems intelligence and control, process design and control integration, and distributed parameter systems with applications to electronics packaging.
XinJiang Lu is currently an associate professor with the School of Mechanical and Electrical Engineering at Central South University, People’s Republic of China. He was awarded the Hiwin Doctoral Dissertation Award in 2011 and the New Century Excellent Talents Award by the Chinese Ministry of Education in 2013. His research interests include robust design, integration of design and control, and process modeling and control.
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System Design and Control Integration for Advanced Manufacturing (Hardcover)
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John Wiley & Sons Inc, New York, 2014
ISBN 10: 1118822269
ISBN 13: 9781118822265
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Hardcover. Condition: new. Hardcover. Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters. Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118822265
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