DOI QR코드

DOI QR Code

A Runge-Kutta scheme for smart control mechanism with computer-vision robotics

  • ZY Chen (School of Science, Guangdong University of Petrochemical Technology) ;
  • Huakun Wu (School of Computer Science, Guangdong Polytechnic Normal University) ;
  • Yahui Meng (School of Science, Guangdong University of Petrochemical Technology) ;
  • Timothy Chen (Engineering and Applied Science, California Institute of Technology)
  • 투고 : 2020.08.05
  • 심사 : 2024.09.24
  • 발행 : 2024.08.25

초록

A novel approach that the smart control of robotics can be realized by a fuzzy controller and an appropriate Runge-Kutta scheme in this paper. A recently proposed integral inequality is selected based on the free weight matrix, and the less conservative stability criterion is given in the form of linear matrix inequalities (LMIs). We demonstrate that this target information obtained through image processing is subjected to smart control with computer-vision robotic to Arduino, and the infrared beacon was utilized for the operation of practical illustrations. A fuzzy controller derived with a fuzzy Runge-Kutta type functions is injected into the system and then the system is stabilized asymptotically. In this study, a fuzzy controller and a fuzzy observer are proposed via the parallel distributed compensation technique to stabilize the system. This paper achieves the goal of real-time following of three vehicles and there are many areas where improvements were made. Finally, each information is transmitted to Arduino via I2C to follow the self-propelled vehicle. The proposed calculation is approved in reproductions and ongoing smart control tests.

키워드

과제정보

The authors are grateful for the research grants given to Ruei-Yuan Wang from the Projects of Talents Recruitment of GDUPT, Peoples R China under Grant NO. 2019rc098, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China. as well as to the anonymous reviewers for constructive suggestions.

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