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Smart Structures and Systems
  Volume 29, Number 5, May 2022 , pages 693-703
DOI: https://doi.org/10.12989/sss.2022.29.5.693
 


LDI NN auxiliary modeling and control design for nonlinear systems
Z.Y. Chen, Ruei-Yuan Wang, Rong Jiang and Timothy Chen

 
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.
 
Key Words
    artificial intelligence; fuzzy theory; intelligent algorithm; LDI; NN controller
 
Address
Z.Y. Chen, Ruei-Yuan Wang, Rong Jiang: School of Science, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China
Timothy Chen: Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA
 

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