Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique

Author:   Hui Zhang ,  Rongrong Wang ,  Junmin Wang
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2023
ISBN:  

9789811985089


Pages:   204
Publication Date:   11 June 2023
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Robust Gain-Scheduled Estimation and Control of Electrified Vehicles via LPV Technique


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Author:   Hui Zhang ,  Rongrong Wang ,  Junmin Wang
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   1st ed. 2023
Weight:   0.553kg
ISBN:  

9789811985089


ISBN 10:   9811985081
Pages:   204
Publication Date:   11 June 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Hui Zhang received the B.Sc. degree in mechanical design manufacturing and automation from the Harbin Institute of Technology at Weihai, China, in 2006; the M.Sc. degree in automotive engineering from Jilin University, Changchun, China, in 2008; and the Ph.D. degree in mechanical engineering from University of Victoria, Victoria, BC, Canada, in 2012. Dr. Zhang was a research associate at the Department of Mechanical and Aerospace Engineering of the Ohio State University, Columbus, Ohio, USA. His research interests include advanced control methods, vehicle dynamics and control, mechatronics, robust control and filtering, networked control systems, and signal processing. Rongrong Wang received B.E. degree in control science and engineering from Tianjin University, Tianjin, China, and the B.S. degree in economics from Nankai University, Tianjin, in 2006; the M.S. degree in control science and engineering from Tsinghua University, Beijing, China, in 2009; and the Ph.D. degreein mechanical engineering from the Ohio State University, Columbus, OH, USA, in 2013. He is currently an associate professor in the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. His research interests include nonlinear systems control, fault-tolerant control, and vehicle dynamics and control. Junmin Wang received the B.E. degree in automotive engineering and the M.S. degree in power machinery and engineering from Tsinghua University, Beijing, China, in 1997 and 2000, respectively; the M.S. degrees in electrical engineering and mechanical engineering from University of Minnesota Twin Cities, Minneapolis, MN, USA, in 2003; and the Ph.D. degree in mechanical engineering from the University of Texas at Austin, Austin, TX, USA, in 2007. Dr. Junmin Wang is the Accenture endowed professor in Mechanical Engineering at University of Texas at Austin. In 2008, he started his academic career at Ohio State University, where he founded the vehicle systems and control laboratory, was early promoted to an associate professor in September 2013, and then promoted to a full professor in June 2016. He also gained five years of full-time industrial research experience at Southwest Research Institute (San Antonio, Texas) from 2003 to 2008. Prof. Wang has a wide range of research interests covering control, modeling, estimation, optimization, and diagnosis of dynamical systems, especially for automotive, smart and sustainable mobility, human–machine, and cyber-physical system applications

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