Introduction to Model Predictive Control for Discrete-time Dynamical Systems

• Utgivningsdatum: 2026-12-23
• Mått: 156 x 234 x undefined mm
• Format: Inbunden
• Språk: Engelska
• Serie: River Publishers Series in Automation, Control and Robotics
• Antal sidor: 212
• Förlag: River Publishers
• ISBN: 9788743813033

• Elektronik och kommunikationer

Jun Chen received his bachelor’s degree in automation from Zhejiang University, Hangzhou China, in 2009, and Ph.D. in electrical engineering from Iowa State University, Ames IA, USA, in 2014. He was with Idaho National Laboratory from 2014 to 2016 and with General Motors from 2017 to 2020. Dr. Chen joined Oakland University in 2020, where he is currently an associate professor at the ECE department. His research interests include advanced control and optimization, model predictive control, artificial intelligence, and stochastic hybrid systems, with applications in intelligent vehicles, robotics, and energy systems. Dr. Chen is a recipient of the NSF Career Award, the Best Paper Award from IEEE Transactions on Automation Science and Engineering, the Best Paper Award from IEEE International Conference on Electro Information Technology, the Best Paper Award from IEEE Cyber Awareness & Research Symposium, the New Investigator Research Excellence Award and Outstanding Graduate Mentor Award from Oakland University, the Publication Achievement Award from Idaho National Laboratory, the Research Excellence Award from Iowa State University, and the Outstanding Student Award from Zhejiang University. He is currently a Senior Member of the IEEE.

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