Proceedings of 2017 Chinese Intelligent Systems Conference (eBook, PDF)

Volume II
Redaktion: Jia, Yingmin; Zhang, Weicun; Du, Junping

• Format: PDF

Produktbeschreibung

Presents selected papers from the 2017 Chinese Intelligent systems Conference (CISC'17) Includes cutting-edge theories and technologies in the field of intelligent systems

Written by leading experts in the field

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 787
• Erscheinungstermin: 27. September 2017
• Englisch
• ISBN-13: 9789811064999
• Artikelnr.: 52933777

Autorenporträt

For internal review only: Yingmin Jia received the B.S. degree in control theory from Shandong University, Ji'nan, China, in January 1982, and the M.S. and Ph.D. degrees both in control theory and applications from Beihang University (BUAA), Beijing, China, in 1990 and 1993, respectively. In 1993, he joined the Seventh Research Division at Beihang University, where he is currently Professor of automatic control. From February 1995 until February 1996 he was a visiting professor with the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR), Germany. He held an Alexander von Humboldt (AvH) research fellowship with the Institute of Control Engineering at the Technical University Hamburg-Harburg, Hamburg, Germany, from December 1996 until March 1998, and a JSPS research fellowship with the Department of Electrical and Electronic Systems at the Osaka Prefecture University, Osaka, Japan, from March 2000 until March 2002. He was a visiting professor with the Department of Statistics at the University of California Berkeley from December 2006 until March 2007. His current research interests include robust control, adaptive control and intelligent control, and their applications in industrial processes and vehicle systems. He is author and co-author of numerous papers and of the book "Robust H∞ Control" (Science Press, 2007). Junping Du received her Ph.D. degree in computer science from University of Science and Technology Beijing (USTB), and then held a postdoc fellowship with the Department of Computer Science at Tsinghua University, Beijing, China. She joined the School of Computer Science at Beijing University of Posts and Telecommunications (BUPT) in July 2006, where she is currently Professor in computer science. She served as chair and co-chair of IPC for many international and domestic academic conferences, and has been vice general secretary of Chinese Association for Artificial Intelligence (CAAI) since 2004. She was a visiting professor with the Department of Computer Science at Aarhus University, Denmark, from September 1996 until September 1997. Her current research interests include artificial intelligence, data mining, intelligent management system development and computer applications. Weicun Zhang received the B.S. degree in control theory from Shenyang Institute of Technology, Shenyang, China, in July 1983, the M.S degree in control theory and applications from Beijing Institute of Technology (BIT), Beijing, China, in 1989, and Ph.D. degree in control theory and applications from Tsinghua University in 1993, respectively. In 2002, he joined the School of Automation and Electrical Engineering atUniversity of Science and Technology Beijing, where he is currently Associate Professor of automatic control. From February 1997 until May 1998, he was a visiting scholar with the Department of Industrial and Operations Engineering, University of Michigan, USA. From September 2006 untill August 2007, he was a visiting professor with the School of Computer Science and Electrical Engineering, Seoul National University.His research interest covers control theory, self-tuning control, and multiple model adaptive control.

Inhaltsangabe

Adaptive Tracking Control of A Single-link Flexible Robotic Manipulator System with Unmodeled Dynamics and Motion Constraint.- Spherical Panorama Stitching Based on Feature Matching and Optical Flow.- Research on Gait Recognition and Step Rate Detection Based on SVM and Auto-correlation Analysis.- A Robust Fast Type-2 Fuzzy Induction Control System.- Esophagus Tumor Segmentation Using Fully Convolutional Neural Network and Graph Cut.