Smart Structures and Systems

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LDI NN auxiliary modeling and control design for nonlinear systems

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochemical Technology) ;
  • Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochemical Technology) ;
  • Jiang, Rong (School of Science, Guangdong University of Petrochemical Technology) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • Received : 2021.10.31
  • Accepted : 2022.02.18
  • Published : 2022.05.25
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Abstract

This study investigates an effective approach to stabilize nonlinear systems. To ensure the asymptotic nonlinear stability in nonlinear discrete-time systems, the present study presents controller for an EBA (Evolved Bat Algorithm) NN (fuzzy neural network) in the algorithm. In fuzzy evolved NN modeling, the auxiliary circuit with high frequency LDI (linear differential inclusions) and NN model representation is developed for the nonlinear arbitrary dynamics. An example is utilized to demonstrate the system more robust compared with traditional control systems.

Keywords

Acknowledgement

The authors are grateful for the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China, RY Wang from the Projects of Talents Recruitment of GDUPT (NO. 2019rc098), and Guangdong Provincial Key Lab.of Petrochemical Equipment and Fault Diagnosis, School of Science, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China as well as to the anonymous reviewers for constructive suggestions.

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