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Smart Structures and Systems
  Volume 30, Number 1, July 2022 , pages 1-15

NNDI decentralized evolved intelligent stabilization of large-scale systems
Z.Y. Chen, Ruei-Yuan Wang, Rong Jiang and Timothy Chen

    This article focuses on stability analysis and fuzzy controller synthesis for large neural network (NN) systems consisting of several interconnected subsystems represented by the NN model. Advanced and fuzzy NN differential inclusion (NNDI) for stability based on the developed algorithm with H infinity can be designed based on the evolved biological design. This representation is constructed using sector linearity for NN models. Sector linearity transforms a non-linear model into a linear model based on proposed operations. New sufficient conditions are realized in the form of LMI (linear matrix inequalities) to ensure the asymptotic stability of the trans-Lyapunov function. This transforms the nonlinear model into a linear model based on multiple rules. At last, a numerical case study with simulations is derived as illustration to prove its feasibility in real nonlinear structures.
Key Words
    intelligent algorithm; large-scale system; neural fuzzy control; numerical modelling
(1) Z.Y. Chen, Ruei-Yuan Wang, Rong Jiang:
Guangdong University of Petrochem Technol, Sch Sci, Maoming 525000, Peoples Republic of China;
(2) Timothy Chen:
Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, USA.

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