Tracking control of uncertain third order jerk equation Genesio-Tesi using adaptive backstepping

This article presents the uncertain Genesio-Tesi, a third-order Jerk equation in the form of an ordinary differential equation, with the potential to exhibit chaos under certain conditions. The main focus of this article is to design a control function for the uncertain Genesio-Tesi, which has uncertain parameters with unknown values. The adaptive backstepping method designs the control function, demonstrating its ability to stabilize the system output towards a given trajectory using Lyapunov stability. To test the robustness of the proposed control method, simulations were conducted with various scenarios, including disturbances to the steady-state system. Simulation results show that the controller successfully drove the system output along a desired trajectory, whether constant or a function, and maintained system stability even with significant disturbances.

Authors

Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-05-23
DOI
https://doi.org/10.11591/ijece.v15i3.pp2758-2768
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Tracking control of uncertain third order jerk equation Genesio-Tesi using adaptive backstepping

Janson Naiborhu, Khozin Mu’tamar, Roberd Saragih, Dewi Handayani
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Advanced Adaptive Filtering Techniques
article

Tracking control of uncertain third order jerk equation Genesio-Tesi using adaptive backstepping

Janson Naiborhu, Khozin Mu’tamar, Roberd Saragih, Dewi Handayani
article en

Abstract

This article presents the uncertain Genesio-Tesi, a third-order Jerk equation in the form of an ordinary differential equation, with the potential to exhibit chaos under certain conditions. The main focus of this article is to design a control function for the uncertain Genesio-Tesi, which has uncertain parameters with unknown values. The adaptive backstepping method designs the control function, demonstrating its ability to stabilize the system output towards a given trajectory using Lyapunov stability. To test the robustness of the proposed control method, simulations were conducted with various scenarios, including disturbances to the steady-state system. Simulation results show that the controller successfully drove the system output along a desired trajectory, whether constant or a function, and maintained system stability even with significant disturbances.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 15(3)
Openalex Percentile: Top 88%
Advanced Adaptive Filtering Techniques
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