Robust Control Performance in Uncertain Environments: A Semi-Heuristic Gradient Descent Approach

Ahmed Hassan M. E., Irham Jambak A., Bayezit İ., Söylemez M. T.

8th International Conference on Instrumentation, Control, and Automation, ICA 2023, Jakarta, Endonezya, 9 - 11 Ağustos 2023, ss.149-154 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ica58538.2023.10273112
  • Basıldığı Şehir: Jakarta
  • Basıldığı Ülke: Endonezya
  • Sayfa Sayıları: ss.149-154
  • Anahtar Kelimeler: Gradient Descent, Interval Characteristic Polynomials, Kharitonov Theorem, Optimization
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

Designing a robust controller for systems with parameter uncertainties is a complex and demanding task. Traditional deterministic and probabilistic approaches may fall short in providing efficient and satisfactory solutions. To address this challenge, we propose a semi-heuristic approach that exploits the Kharitonov theorem to establish an initial point for the gradient descent algorithm. Through an iterative optimization process that incorporates user-defined performance criteria, our approach provide a robust controller with respect to presence of system uncertainties. Numerical simulations validate the effectiveness of our proposed method and highlight its superiority in addressing robust control problems compared with auto-tuned ΡΠ) controller.