Learning Control

Dan Zhang is a Kaneff Professor and Tier 1 York Research Chair in Advanced Robotics and Mechatronics in the Department of Mechanical Engineering of the Lassonde School of Engineering at York University, Toronoto, Canada. Previously he was Professor and Canada Research Chair in Advanced Robotics and Automation, and he was a founding Chair of the Department of Automotive, Mechanical, and Manufacturing Engineering with the Faculty of Engineering and Applied Science at University of Ontario Institute of Technology. He is editor-in-chief for International Journal of Robotics Applications and Technologies, Associate editor for the International Journal of Robotics and Automation (ACTA publisher), and guest editor on four other international journals. He is the editor of 6 books related to mechatronics and robotics. Bin Wei is an Assistant Professor at Algoma University, Ontario, Canada. He received his Ph.D. in robotics from University of Ontario Institute of Technology, Canada, in 2016. He conducts research in the areas of robotics, control theory, and computational mechanics. He has co-edited 5 books on robotic mechanics.

• A high-level design process for neural-network controls through a framework of human personalitiesCognitive load estimation for adaptive human–machine system automationComprehensive error analysis beyond system innovations in Kalman filteringNonlinear controlDeep learning approaches in face analysisFinite multi-dimensional generalized Gamma Mixture Model Learning for feature selectionVariational learning of finite shifted scaled Dirichlet mixture models From traditional to deep learning: Fault diagnosis for autonomous vehiclesControlling satellites with reaction wheels Vision dynamics-based learning control