Recurrent Neural Network Controller for Linear and Nonlinear Systems

Sheikhmemari S.

4th International Conference on Intelligent and Fuzzy Systems (INFUS), Bornova, Türkiye, 19 - 21 Temmuz 2022, cilt.504, ss.752-760, (Tam Metin Bildiri) identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 504
  • Doi Numarası: 10.1007/978-3-031-09173-5_86
  • Basıldığı Şehir: Bornova
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.752-760
  • Anahtar Kelimeler: Recurrent neural network self-tuning PID controller, Deep learning recurrent neural network
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

This paper aims to design deep recurrent neural network controllers for linear and non-linear systems. Design and comparison with two different controllers are considered. A pure recurrent neural network controller and self-tuning PID controller based on recurrent neural networks (PRNN), according to the influence of the object's parameter on system output performance, The PRNN can auto-adjust its weights to vary k(P), k(I) and k(D) The emulation results show that the presented control systems have quick response speed and strong adaptive capability.