Keynote Speakers


Prof. Zhezhao Zeng, Changsha University of Science & Technology, China

Title: Mutual Coupling PID Cooperative Control Principle
Abstract:Aiming at the century problems that three dimensionless independent gain coefficients lead to close correlation between PID gains and controlled objects, and cause very poor gain robustness, mutual coupling PID (MC-PID) cooperative control principle which originates from PID and surpasses PID was proposed. This principle uses a speed factor to closely couple the proportional-integral-differential (PID) links together to build a class of controller model and its tuning rules independent of controlled objects, so that the three physical links of PID show the cooperative control mechanism with different functions and same goal in the control process. In order to solve the contradiction between quickness and overshoot, and the contradiction between dynamic quality and steady state performance, adaptive velocity factor model and nonlinear tracking differentiator (TD) model were designed respectively. A new system on cooperative control theory based on MC-PID, MC-PD, MC-PI and adaptive speed factor model and its key technologies was preliminarily formed. The purpose of this research is to dilute the concept of system classification and to blur the consciousness of complex control, improve the new system for MC-PID cooperative control theory, and provide scientific index evaluation system and advanced key technology for technology evaluation and technology upgrade of the current PID control systems, and promote rapidly the modern control theory system from intelligent control into the era of wisdom control, and make the dream for a layman to control complex systems come true.


 

Prof. Zhiqiang Hou, Xi'an University of Posts and Telecommunications, China

Title: Visual Tracking
Abstract: In this presentation, four parts about visual tracking will be shown. Firstly, definition and applications of visual tracking will be introduced; then, the reason of why we still research about visual tracking problems will be explained; thirdly, the main visual tracking methods will be discussed; finally, some of our researches about visual tracking in these years will be presented. 

Important Dates

Submission Deadline: January 8, 2020

Registration Deadline: February 27, 2020

Conference Date: March 6-8, 2020

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