Adaptive and Learning Control for Complex Dynamical Systems and Robotics

Adaptive and Learning Control for Complex Dynamical Systems and Robotics

We are pleased to announce a dedicated Symposium on “Adaptive and Learning Control for Complex Dynamical Systems and Robotics” to explore the subject in more detail during CDSR’20. Adaptive control for robotics has been developed in the last decade, and learning control design is still at early age. Control system design is a critical step for the development of complex dynamical systems and robotics. This symposium aims to bring researchers together to present the latest advances and technologies in the field of adaptive and learning control for complex dynamical systems and robotics in order to further summarise and improve the methodologies in this field. Suitable topics include, but not limited to, the following:
 Adaptive control for robotics
 Learning control for robotics
 Intelligent control system for human-robot interaction
 Nonlinear control of complex dynamical systems
 Control stability
This call invites both theoretical and empirical studies on these topics.

Assis. Prof. Bin Wei
Symposium Chair
Algoma University, Canada

SYMPOSIUM SPEAKERS

Assoc. Prof. Ruth Milman
Ontario Tech University, Canada

Prof. Simon X. Yang
University of Guelph, Canada

Prof. Dan Zhang
York University, Canada

Prof. Naira Hovakimyan
University of Illinois, USA

Assis. Prof. Shahpour Alirezaee
Windsor University, Canada

Prof. Xinzhi Liu
University of Waterloo, Canada

Assoc. Prof. Jun Liu
University of Waterloo, Canada

Assis. Prof. Farokh Atashzar
New York University (NYU), USA

Assis. Prof. Alireza Mohammadi
University of Michigan, USA

Assoc. Prof. Stevan Dubljevic
University of Alberta, Canada