题目：The State of the of Art of Neurodynamic Optimization – Past, Present, and Prospect
主讲人：Professor Jun WANG
The Chinese University of Hong Kong
时间：2014-4-18, 4:30 PM
地点：厦门大学海韵园教学楼206
报告摘要：In this talk, starting with the idea and motivation of neurodynamic optimization, we
will review the historic review and present the state of the art of neurodynamic
optimization with many models and selected applications. Theoretical results about
the state stability, output convergence, and solution optimality of the neurodynamic
optimization models will be given along with many illustrative examples and simulation
results. Four classes of neurodynamic optimization model design methodologies
(i.e., penalty methods, Lagrange methods, duality methods, and optimality methods)
will be delineated with discussions of their characteristics. In addition, it will be
shown that many real-time computational optimization problems in information
processing, system control, and robotics (e.g., parallel data selection and sorting,
robust pole assignment in linear feedback control systems, robust model predictive
control for nonlinear systems, collision-free motion planning and control of
kinematically redundant robot manipulators with or without torque optimization,
and grasping force optimization of multi-fingered robotic hands) can be
solved by means of neurodynamic optimization. Finally, prospective future
research directions will be discussed.
报告人简介：
Jun Wang is a Professor and the Director of the Computational Intelligence
Laboratory at the Chinese University of Hong Kong. He published over 170 journal
papers, 15 book chapters, 11 edited books, and numerous conference papers in
these areas. He is the Editor-in-Chief of the IEEE Transactions on Cybernetics
since 2014 and a member of the editorial board of Neural Networks since 2012.
He has been an IEEE Computational Intelligence Society Distinguished
Lecturer (2010-2012, 2014-2016). In addition, he served as President of Asia
Pacific Neural Network Assembly (APNNA) in 2006 and many organizations
such as IEEE Fellow Committee (2011-2012); IEEE Computational Intelligence
Society Awards Committee (2008, 2012, 2014), IEEE Systems, Man, and
Cybernetics Society Board of Directors (2013-2015), He is an IEEE Fellow,
IAPR Fellow, and a recipient of an IEEE Transactions on Neural Networks
Outstanding PaperAward and APNNA Outstanding Achievement Award in 2011,
Natural Science Awards from Shanghai Municipal Government (2009) and
Ministry of Education of China (2011), and Neural Networks Pioneer Award from
IEEE Computational Intelligence Society (2014), among others.
