Szczegóły publikacji
Opis bibliograficzny
Real-time adaptive control using ANN system based on optimal control problem / Patryk BAŁAZY, Janusz KWAŚNIEWSKI // W: 2025 26th International Carpathian Control Conference (ICCC) [Dokument elektroniczny] : 19-21 May 2025, Starý Smokovec, Slovakia : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2025. — Dod. ISBN: 979-8-3315-0126-6, 979-8-3315-0128-0. — e-ISBN: 979-8-3315-0127-3. — S. [1–6]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [5–6], Abstr. — Publikacja dostępna online od: 2025-06-10
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 160863 |
|---|---|
| Data dodania do BaDAP | 2025-07-14 |
| Tekst źródłowy | URL |
| DOI | 10.1109/ICCC65605.2025.11022934 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
This paper presents a novel approach to adaptive control by integrating Linear Quadratic Regulator (LQR) techniques with neural networks. The study is divided into three main stages. First, an adaptive LQR controller is developed, which dynamically recalculates control parameters in response to changes in system parameters. However, due to the significant computational resources required, it is impractical to calculate LQR gains for each time sample directly on the device. To address this limitation, a neural network is trained to learn the adaptive gains provided by the LQR controller, enabling it to predict and apply these gains in real-time. Finally, the performance of the neural network-based adaptive controller is compared with the traditional adaptive LQR controller. The results demonstrate that the neural network approach not only maintains the robustness and efficiency of the LQR controller but also offers improved adaptability and computational efficiency. This integration of adaptive control and machine learning techniques holds significant promise for enhancing the performance of complex dynamic systems.
