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<p>A method for the automated design of hardware components of neural network control systems for programmable logic integrated circuits is considered. An approach is proposed that includes the development and implementation of direct and inverse neural network models of the control object, as well as automated program code generation. The efficiency of the method is demonstrated using a ball-on-platform balancing system. The results obtained can be used to create high-performance adaptive control systems in real time.</p>

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FPGA-Based Method for Automated Design of Neural Network Controllers

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • V. M. Shymkovych,
  • A. Yu. Doroshenko,
  • P. I. Kravets,
  • O. A. Yatsenko

摘要

A method for the automated design of hardware components of neural network control systems for programmable logic integrated circuits is considered. An approach is proposed that includes the development and implementation of direct and inverse neural network models of the control object, as well as automated program code generation. The efficiency of the method is demonstrated using a ball-on-platform balancing system. The results obtained can be used to create high-performance adaptive control systems in real time.