Adaptive stable backstepping controller based on support vector regression for nonlinear systems

Kemal Uçak*, Gülay Öke Günel

*Bu çalışma için yazışmadan sorumlu yazar

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3 Atıf (Scopus)

Özet

In this paper, a novel adaptive stable backstepping controller(BSC) based on support vector regression (SVR) has been introduced for nonlinear dynamical systems. Stable BSC is designed over Lyapunov stability of the closed-loop system. The nonlinear system dynamics required to constitute the BSC architecture are identified via SVR. The prediction competency of SVR and the stable behavior of BSC are aggregated in this architecture for nonlinear systems. The performance evaluation of the proposed adaptive BSC has been examined on a nonlinear inverted pendulum(IP) and a nonlinear mass–spring–damper(NMSD) system. The acquired results provide a successful and stable BSC control performance for both nonlinear systems.

Orijinal dilİngilizce
Makale numarası107533
DergiEngineering Applications of Artificial Intelligence
Hacim129
DOI'lar
Yayın durumuYayınlandı - Mar 2024

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© 2023 Elsevier Ltd

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